[CourseClub.Me] Udacity - Artificial Intelligence Nanodegree and Specializations v1.0.0

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[CourseClub.Me] Udacity - Artificial Intelligence Nanodegree and Specializations v1.0.0

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文件列表

  • Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4 156.2 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
  • Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.mp4 54.5 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/17. Solving 5x5 Isolation-IawyLVnyFf8.mp4 49.5 MB
  • Part 01-Module 02-Lesson 04_Search/41. Peter's Take on AI-klwnKuusFhw.mp4 42.3 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
  • Part 08-Module 04-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4 40.0 MB
  • Part 08-Module 02-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 38.9 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 38.9 MB
  • Part 08-Module 02-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.9 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.9 MB
  • Part 08-Module 02-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 36.5 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 36.5 MB
  • Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 35.4 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MB
  • Part 07-Module 01-Lesson 01_Develop Your Personal Brand/04. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/02. Background and Expert Systems-OAYRXkHn9PQ.mp4 34.0 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/09. NLP H 8-LMvKyA3ZBZE.mp4 31.9 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/09. NLP H 8-LMvKyA3ZBZE.mp4 31.9 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MB
  • Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/08. Applications of NLP-33dq-H6U4AI.mp4 29.3 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/08. Applications of NLP-33dq-H6U4AI.mp4 29.3 MB
  • Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Part 08-Module 02-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MB
  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Part 08-Module 02-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 27.0 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 27.0 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/13. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
  • Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/34. HMM Topologies-m13mWH6vFR8.mp4 26.0 MB
  • Part 08-Module 02-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 25.4 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 25.4 MB
  • Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/05. Conversational AI with Alexa-1EU8jusdLZI.mp4 25.3 MB
  • Part 05-Module 01-Lesson 02_Intro to Voice User Interfaces/05. Conversational AI with Alexa-1EU8jusdLZI.mp4 25.3 MB
  • Part 01-Module 04-Lesson 01_Probability/02. 01 - Intro To Probability And Bayes Nets-V-ngFH2nakU.mp4 25.3 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 24.9 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/01. Andrew Trask - Intro-da1I0mea1jQ.mp4 24.9 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 24.9 MB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4 24.5 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/15. Annealing-uFHaxOl1Nlo.mp4 24.4 MB
  • Part 02-Module 06-Lesson 05_Sentiment Prediction with RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp4 24.2 MB
  • Part 09-Module 06-Lesson 02_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp4 24.2 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/10. Agent, Environment And State-GtSd6MgyJ8c.mp4 24.2 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 23.7 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 23.4 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction-Kl3hWxizKVg.mp4 23.4 MB
  • Part 08-Module 02-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 23.2 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 23.2 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/11. Getting Started with Watson-9LTS9JfGNzM.mp4 22.9 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/11. Getting Started with Watson-9LTS9JfGNzM.mp4 22.9 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/04. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MB
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/03. What You'll Build-kGsOEpUrGaQ.mp4 22.8 MB
  • Part 08-Module 02-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.6 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.6 MB
  • Part 02-Module 05-Lesson 01_Autoencoders/06. Convolutional Autoencoders-18SZVRaumGs.mp4 22.6 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 22.2 MB
  • Part 08-Module 02-Lesson 03_RNN's/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 22.1 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 22.1 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 22.1 MB
  • Part 08-Module 02-Lesson 03_RNN's/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 21.9 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 21.9 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.7 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.7 MB
  • Part 07-Module 01-Lesson 01_Develop Your Personal Brand/02. Elevator Pitch-S-nAHPrkQrQ.mp4 21.6 MB
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/05. Udacity Support-SkTjhpQssdY.mp4 21.0 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 20.8 MB
  • Part 08-Module 02-Lesson 03_RNN's/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 20.6 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 20.6 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/02. Navigation-atU_YSTVa5k.mp4 20.6 MB
  • Part 04-Module 02-Lesson 02_Text Processing/05. Cleaning-qawXp9DPV6I.mp4 20.5 MB
  • Part 09-Module 01-Lesson 03_Text Processing/07. Cleaning-qawXp9DPV6I.mp4 20.5 MB
  • Part 02-Module 06-Lesson 05_Sentiment Prediction with RNN/05. Building The RNN 1-XTD6slf64fM.mp4 20.0 MB
  • Part 09-Module 06-Lesson 02_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.mp4 20.0 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/09. Defining Intelligence-D6DSh1ilITQ.mp4 19.8 MB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/05. Writing the Body-aK9Qnv3a6Wg.mp4 19.1 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/19. CNNs For Image Classification-l9vg_1YUlzg.mp4 19.0 MB
  • Part 08-Module 02-Lesson 03_RNN's/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 19.0 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 19.0 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/05. Building The Generator And Discriminator-OWytckbbeGQ.mp4 18.8 MB
  • Part 08-Module 02-Lesson 03_RNN's/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 18.6 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 18.6 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/03. Applications of CNNs-HrYNL_1SV2Y.mp4 18.6 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp4 18.5 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem-IsTOnkAKaJw.mp4 18.5 MB
  • Part 07-Module 01-Lesson 01_Develop Your Personal Brand/01. Why Network-exjEm9Paszk.mp4 18.2 MB
  • Part 08-Module 02-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 18.1 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 18.1 MB
  • Part 08-Module 02-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 18.1 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 18.1 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/05. Varying the Branching Factor--SwomcrNuQA.mp4 18.0 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/12. Convolutional Layers-RnM1D-XI--8.mp4 17.9 MB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/01. Get an Interview with a Cover Letter!-BH1KY63YfAM.mp4 17.5 MB
  • Part 07-Module 01-Lesson 01_Develop Your Personal Brand/07. Use Your Elevator Pitch-e-v60ieggSs.mp4 17.4 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/10. NLP Services-vTupzLkpxJU.mp4 17.3 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/10. NLP Services-vTupzLkpxJU.mp4 17.3 MB
  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/01. Intro-EuBLtVm85WY.mp4 17.1 MB
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/02. Meet Your Guides-S3agARoq22E.mp4 17.1 MB
  • Part 02-Module 07-Lesson 02_Deep Convolutional GANs/05. DCGAN And The Generator-CH6BxLTKt7s.mp4 16.8 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/05. GANs Architecture -gaEs7ccZv_Q.mp4 16.7 MB
  • Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 16.7 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/01. Pattern Recognition through Time Intro-y1F98nH1KlM.mp4 16.7 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/06. Model Loss Exercise-W7TawMNxBds.mp4 16.6 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/01. Welcome to AI!-Y2cvz0YS8hI.mp4 16.6 MB
  • Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/06. VUI Best Practices-KUPp0JpxShk.mp4 16.5 MB
  • Part 05-Module 01-Lesson 02_Intro to Voice User Interfaces/06. VUI Best Practices-KUPp0JpxShk.mp4 16.5 MB
  • Part 02-Module 05-Lesson 01_Autoencoders/04. A-Simple-Autoencoders 21718-lXGdkCT8E1c.mp4 16.4 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/07. Natural Language Processing-sQiURKPFXNM.mp4 16.2 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/07. Natural Language Processing-sQiURKPFXNM.mp4 16.2 MB
  • Part 02-Module 01-Lesson 01_Welcome to Artificial Intelligence/01. Welcome To Term 2-1ZpGy3KX_JM.mp4 15.9 MB
  • Part 08-Module 02-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 15.5 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 15.5 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/13. Rational Behavior And Bounded Optimality-Y3JPWwlHkxI.mp4 15.4 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 15.4 MB
  • Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 15.3 MB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/04. Writing Your Introduction-5S5PH73WLLY.mp4 15.1 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4 15.1 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/07. Horizon Effect (Contd.)-Ph76X98ieck.mp4 14.9 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/29. HMM Training-Jg5OKvxsYl4.mp4 14.7 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/14. Thad’s Asides-8BiZifMsF0o.mp4 14.7 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/10. AffdexMe Demo-dpFtXDqakvY.mp4 14.6 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/10. AffdexMe Demo-dpFtXDqakvY.mp4 14.6 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/06. AffdexMe Demo-dpFtXDqakvY.mp4 14.6 MB
  • Part 08-Module 05-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 14.5 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/06. Vision-based Emotion AI-7nKKWWn1sAc.mp4 14.4 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/06. Vision-based Emotion AI-7nKKWWn1sAc.mp4 14.4 MB
  • Part 06-Module 01-Lesson 01_Conduct a Job Search/03. Target Your Application to An Employer-X9JBzbrkcvs.mp4 14.4 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/07. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4 14.3 MB
  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 14.3 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.mp4 14.1 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/27. Transfer Learning-LHG5FltaR6I.mp4 14.0 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 13.9 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/15. Build The Network And Results-hu8iMMqajmQ.mp4 13.9 MB
  • Part 06-Module 02-Lesson 01_Refine Your Entry-Level Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.9 MB
  • Part 06-Module 02-Lesson 02_Refine Your Career Change Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.9 MB
  • Part 06-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/02. Effective Resume Components-AiFcaHRGdEA.mp4 13.9 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/09. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.8 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.8 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/05. Isolation-BYqGXP95QLc.mp4 13.7 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/28. Transfer Learning in Keras-HsIAznMM1LA.mp4 13.6 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.mp4 13.5 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4 13.5 MB
  • Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp4 13.5 MB
  • Part 05-Module 01-Lesson 02_Intro to Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp4 13.5 MB
  • Part 09-Module 03-Lesson 01_Intro to Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp4 13.5 MB
  • Part 06-Module 02-Lesson 01_Refine Your Entry-Level Resume/06. Resume Review-L3F2BFGYMtI.mp4 13.5 MB
  • Part 06-Module 02-Lesson 02_Refine Your Career Change Resume/06. Resume Review-L3F2BFGYMtI.mp4 13.5 MB
  • Part 06-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/06. Resume Review-L3F2BFGYMtI.mp4 13.5 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/01. Introduction-ZWRZvOXiC28.mp4 13.4 MB
  • Part 08-Module 02-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 13.4 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 13.4 MB
  • Part 08-Module 09-Lesson 07_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 13.4 MB
  • Part 02-Module 05-Lesson 01_Autoencoders/07. Convolutional Autoencoder Solutions-w3iPs6YnqmY.mp4 13.3 MB
  • Part 06-Module 02-Lesson 01_Refine Your Entry-Level Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 13.3 MB
  • Part 06-Module 02-Lesson 02_Refine Your Career Change Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 13.3 MB
  • Part 06-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/05. Resume Reflection-8Cj_tCp8mls.mp4 13.3 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/07. Model Optimization Exercise-wNpI1wUA4Io.mp4 13.3 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/13. Towards Augmented Intelligence-6y2B8VKoGTw.mp4 13.0 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/13. Towards Augmented Intelligence-6y2B8VKoGTw.mp4 13.0 MB
  • Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp4 12.8 MB
  • Part 05-Module 01-Lesson 02_Intro to Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp4 12.8 MB
  • Part 09-Module 03-Lesson 01_Intro to Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp4 12.8 MB
  • Part 06-Module 02-Lesson 01_Refine Your Entry-Level Resume/03. Resume Structure-POM0MqLTj98.mp4 12.8 MB
  • Part 06-Module 02-Lesson 02_Refine Your Career Change Resume/03. Resume Structure-POM0MqLTj98.mp4 12.8 MB
  • Part 06-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/03. Resume Structure-POM0MqLTj98.mp4 12.8 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/07. Monty Hall Problem - Explained-7KbxYxniltU.mp4 12.8 MB
  • Part 08-Module 02-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.mp4 12.7 MB
  • Part 06-Module 01-Lesson 01_Conduct a Job Search/02. Job Search Mindset-cBk7bno3KS0.mp4 12.7 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/10. Local Connectivity-z9wiDg0w-Dc.mp4 12.6 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 12.6 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 12.6 MB
  • Part 01-Module 02-Lesson 03_Build an Adversarial Search Agent/01. Project Introduction-XShb4I3qS1U.mp4 12.6 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/02. Cool Things To Do With GANs-bo-ToTdhgew.mp4 12.6 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 12.6 MB
  • Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/08. Alexa Skills - Beyond Space Geek-raAg_JXUQKg.mp4 12.5 MB
  • Part 05-Module 01-Lesson 02_Intro to Voice User Interfaces/08. Alexa Skills - Beyond Space Geek-raAg_JXUQKg.mp4 12.5 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/09. Hidden Markov Models-ClNq1Aqdzr4.mp4 12.4 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.mp4 12.4 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/22. Andrew Trask - Outro-nIF0GLOQglQ.mp4 12.4 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/16. A Trained GAN-TR-uEJcjig4.mp4 12.2 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 12.2 MB
  • Part 06-Module 02-Lesson 01_Refine Your Entry-Level Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 12.1 MB
  • Part 06-Module 02-Lesson 02_Refine Your Career Change Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 12.1 MB
  • Part 06-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/01. Convey Your Skills Concisely-xnQr3ohml9s.mp4 12.1 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/21. Genetic Algorithms-shfJ18BewqM.mp4 12.1 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/10. Coding A Blue Screen-jeeDryFxodk.mp4 12.0 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/14. Coding A Blue Screen-jeeDryFxodk.mp4 12.0 MB
  • Part 02-Module 06-Lesson 05_Sentiment Prediction with RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp4 11.8 MB
  • Part 09-Module 06-Lesson 02_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp4 11.8 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/04. 04. Computer Vision Applications-aFJKp2NltCY.mp4 11.7 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/04. 04. Computer Vision Applications-aFJKp2NltCY.mp4 11.7 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/25. Expectimax Alpha-Beta Pruning-orpXPtA7ITQ.mp4 11.7 MB
  • Part 02-Module 01-Lesson 01_Welcome to Artificial Intelligence/02. Intro To Guides-GTG0Ka3UXuI.mp4 11.6 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.mp4 11.5 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/35. Phrase Level Recognition-0M-WJCgqtEc.mp4 11.5 MB
  • Part 08-Module 01-Lesson 04_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.mp4 11.5 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/05. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 11.4 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/05. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 11.4 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 11.4 MB
  • Part 01-Module 02-Lesson 04_Search/38. Sliding Blocks Puzzle 2-7vExAvX3LbI.mp4 11.4 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/31. Evaluation Function Intro-hWPQrnLmYOk.mp4 11.3 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/03. Overview -uoSrsXpgmZ0.mp4 11.3 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4 11.2 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.mp4 11.2 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/24. Sloppy Isolation Expectimax-DkTzxfi9woU.mp4 11.2 MB
  • Part 08-Module 09-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 11.2 MB
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/01. Welcome-R391sgqxzAA.mp4 11.0 MB
  • Part 08-Module 02-Lesson 03_RNN's/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 11.0 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 11.0 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 11.0 MB
  • Part 06-Module 01-Lesson 01_Conduct a Job Search/01. Introduction-axcFtHK6If4.mp4 11.0 MB
  • Part 08-Module 02-Lesson 03_RNN's/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.9 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.9 MB
  • Part 01-Module 02-Lesson 04_Search/06. Tree Search-lCuwrHKxNlU.mp4 10.8 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/11. HMM Representation-34Noy-7bPAo.mp4 10.8 MB
  • Part 01-Module 01-Lesson 04_Setting up with Anaconda/01. Why Anaconda-VXukXZv7SCQ.mp4 10.8 MB
  • Part 02-Module 01-Lesson 02_Review Anaconda Setup/01. Why Anaconda-VXukXZv7SCQ.mp4 10.8 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/03. Other Generative Models, How GANs Work-MF0QCP1OC9I.mp4 10.8 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/22. Image Augmentation in Keras-odStujZq3GY.mp4 10.8 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.mp4 10.7 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network-aM2k7RTjjJI.mp4 10.7 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/02. Semi-Supervised Learning-_LRpHPxZaX0.mp4 10.6 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/23. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.5 MB
  • Part 07-Module 01-Lesson 01_Develop Your Personal Brand/05. Elevator Pitch-0QtgTG49E9I.mp4 10.5 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/12. Color Spaces and Transforms-B350aJVSsFc.mp4 10.4 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/17. Color Spaces and Transforms-B350aJVSsFc.mp4 10.4 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.mp4 10.4 MB
  • Part 01-Module 02-Lesson 04_Search/24. More Uniform Cost-8xH-3WtswDs.mp4 10.3 MB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/07. Format-Xlqoq-SoJso.mp4 10.3 MB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.mp4 10.3 MB
  • Part 08-Module 01-Lesson 04_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4 10.2 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.mp4 10.2 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/14. Transforming Text-SE1hidDN_6g.mp4 10.2 MB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.mp4 10.1 MB
  • Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.mp4 10.1 MB
  • Part 02-Module 06-Lesson 04_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 10.1 MB
  • Part 08-Module 02-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 10.1 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/10. Color Images--XbXiiGQ9gw.mp4 10.1 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/01. Introduction-Vnj2VNQROtI.mp4 10.1 MB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/05. Corner Detectors-jemzDq07MEI.mp4 10.0 MB
  • Part 08-Module 01-Lesson 03_Types of Features Image Segmentation/02. Corner Detectors-jemzDq07MEI.mp4 10.0 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 10.0 MB
  • Part 06-Module 02-Lesson 01_Refine Your Entry-Level Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.9 MB
  • Part 06-Module 02-Lesson 02_Refine Your Career Change Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.9 MB
  • Part 06-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/04. Describe Your Work Experiences-B1LED4txinI.mp4 9.9 MB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/03. Cover Letter Components-DVvLiKedRw4.mp4 9.9 MB
  • Part 08-Module 02-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4 9.9 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4 9.8 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/img/self-driving-uber-prototype-in-san-francisco.jpg 9.7 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.7 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.7 MB
  • Part 02-Module 01-Lesson 01_Welcome to Artificial Intelligence/04. Udacity Support-SkTjhpQssdY.mp4 9.7 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/25. Visualizing CNNs-mnqS_EhEZVg.mp4 9.6 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/12. A simple model for my savings account balance-JQ2Nzzxx5oQ.mp4 9.4 MB
  • Part 07-Module 01-Lesson 01_Develop Your Personal Brand/06. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 9.4 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/11. RNN Output-RkanDkcrTxs.mp4 9.4 MB
  • Part 04-Module 03-Lesson 02_Sequence to Sequence/06. Preprocessing-ktQW6p9pOS4.mp4 9.3 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/10. Model Loss Solution-r3DtohmychE.mp4 9.3 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/05. Tic Tac Toe Heuristics-s5E9aQaOJ3s.mp4 9.2 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/img/embedding.gif 9.2 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/20. CNNs in Keras Practical Example-faFvmGDwXX0.mp4 9.1 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.mp4 9.1 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/30. RNNs 4 2 Basic RNN Derivation-Y3-YuSbhbQM.mp4 9.1 MB
  • Part 02-Module 05-Lesson 01_Autoencoders/05. Simple Autoencoder Solution-Nv_D6DHfEk8.mp4 9.0 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.mp4 9.0 MB
  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.mp4 9.0 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 8.9 MB
  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4 8.8 MB
  • Part 02-Module 06-Lesson 05_Sentiment Prediction with RNN/06. Training The Network-nknJ3Xu3ld0.mp4 8.8 MB
  • Part 09-Module 06-Lesson 02_Sentiment Prediction RNN/06. Training The Network-nknJ3Xu3ld0.mp4 8.8 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/01. Introduction to Speech Recognition-EcsLCpnGBGs.mp4 8.8 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/01. Introduction to Speech Recognition-EcsLCpnGBGs.mp4 8.8 MB
  • Part 08-Module 01-Lesson 04_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.mp4 8.8 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 8.7 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/25. Method Similarities-vjww1OlN0pA.mp4 8.7 MB
  • Part 02-Module 07-Lesson 02_Deep Convolutional GANs/02. Deconvolution-sX_AxtB6CHI.mp4 8.7 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/18. High-pass Filters-OpcFn_H2V-Q.mp4 8.6 MB
  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.mp4 8.6 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/12. Sign Language Recognition-iUHcC93pU78.mp4 8.6 MB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/02. Purpose-7F7cMCTcyhM.mp4 8.6 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.mp4 8.6 MB
  • Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp4 8.6 MB
  • Part 05-Module 01-Lesson 02_Intro to Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp4 8.6 MB
  • Part 09-Module 03-Lesson 01_Intro to Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp4 8.6 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/11. Perception, Action and Cognition-9F5DT_78emc.mp4 8.5 MB
  • Part 01-Module 02-Lesson 04_Search/05. Example Route Finding-5lrkPKQwOFE.mp4 8.5 MB
  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4 8.5 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.5 MB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.mp4 8.5 MB
  • Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.mp4 8.5 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/24. Groundbreaking CNN Architectures-ddrB-mhMfkY.mp4 8.5 MB
  • Part 02-Module 07-Lesson 02_Deep Convolutional GANs/09. Building And Training The Network-nXKk9GI4X14.mp4 8.5 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/11. Convolutional Layers-h5R_JvdUrUI.mp4 8.4 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/23. Max Number of Nodes Visited-oY286RU8u8U.mp4 8.4 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.4 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.4 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/09. 09. Training a Model-m4GVfwVkj74.mp4 8.4 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/09. 09. Training a Model-m4GVfwVkj74.mp4 8.4 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/04. 09. Training a Model-m4GVfwVkj74.mp4 8.4 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/13. Stride and Padding-0r9o8hprDXQ.mp4 8.4 MB
  • Part 08-Module 09-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 8.3 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/37. Context Training-A4Kn5BUESDw.mp4 8.3 MB
  • Part 08-Module 01-Lesson 04_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.mp4 8.3 MB
  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 8.3 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/03. Game Playing-dtuvgyfH0WM.mp4 8.3 MB
  • Part 03-Module 03-Lesson 01_Completing the Program/01. Arpan Rollercoaster-Rf6cCYRqV58.mp4 8.2 MB
  • Part 04-Module 04-Lesson 01_Completing the Program/01. Arpan Rollercoaster-Rf6cCYRqV58.mp4 8.2 MB
  • Part 05-Module 03-Lesson 01_Completing the Program/01. Arpan Rollercoaster-Rf6cCYRqV58.mp4 8.2 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/09. LSTM Cell-ajC-5uWB8S4.mp4 8.2 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/01. Welcome to Computer Vision-GgA3_-MMT_I.mp4 8.1 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/01. Welcome to Computer Vision-GgA3_-MMT_I.mp4 8.1 MB
  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 8.1 MB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.mp4 8.1 MB
  • Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.mp4 8.1 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/10. Building a Game Tree (Contd.)-2EETczdx2t4.mp4 8.1 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.mp4 8.0 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/11. Graphical model representations of recursive sequences-OS9yQCTzCkg.mp4 8.0 MB
  • Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/04. What is an Alexa Skill-okuMYzF0DF4.mp4 8.0 MB
  • Part 05-Module 01-Lesson 02_Intro to Voice User Interfaces/04. What is an Alexa Skill-okuMYzF0DF4.mp4 8.0 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.mp4 7.9 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/41. Regularization-ndYnUrx8xvs.mp4 7.9 MB
  • Part 08-Module 05-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4 7.9 MB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/02. Why Use Features-XXKs45uvCOY.mp4 7.9 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/08. Color Thresholds-08ZlYZJaiUg.mp4 7.9 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/13. Color Thresholds-08ZlYZJaiUg.mp4 7.9 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/07. Simple recursive examples-F4-CBqMsd_Y.mp4 7.9 MB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7.9 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/01. Introduction-U_RQorl0LHg.mp4 7.8 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/10. Alpha-Beta Pruning-2_g9Kbmsqn0.mp4 7.8 MB
  • Part 01-Module 02-Lesson 04_Search/36. Sliding Blocks Puzzle-Dzah_49isp8.mp4 7.8 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/09. Discriminator Solution-_X8ssUzu_Bo.mp4 7.8 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.mp4 7.8 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/03. Signal Analysis-AJKKQJZsb7o.mp4 7.8 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/03. Signal Analysis-AJKKQJZsb7o.mp4 7.8 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.mp4 7.8 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/01. A Problem-UP3v66znF7I.mp4 7.7 MB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.mp4 7.7 MB
  • Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.mp4 7.7 MB
  • Part 08-Module 02-Lesson 03_RNN's/24. RNN Summary-nXP0oGGRrO8.mp4 7.6 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/24. RNN Summary-nXP0oGGRrO8.mp4 7.6 MB
  • Part 02-Module 07-Lesson 02_Deep Convolutional GANs/06. Generator Solution-jyPwUEZg05Q.mp4 7.6 MB
  • Part 01-Module 02-Lesson 04_Search/25. A Search-HNdOFYCtfu4.mp4 7.6 MB
  • Part 08-Module 01-Lesson 04_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.mp4 7.6 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4 7.6 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/13. Error Functions-jfKShxGAbok.mp4 7.6 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/12. Voice Data Lab Introduction-9072Yx9hOXk.mp4 7.6 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/12. Voice Data Lab Introduction-9072Yx9hOXk.mp4 7.6 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/12. Trained Semi-Supervised GAN-9yWYZDX8-O8.mp4 7.5 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/29. Flaws with the FNN approach-sUXrzpAkF9A.mp4 7.5 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/14. Build The Network-RVNjDlWTBQU.mp4 7.4 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/08. Generator Network-btHVXnICmzQ.mp4 7.4 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/13. Geometric Transforms-86E53_rHka8.mp4 7.4 MB
  • Part 02-Module 07-Lesson 02_Deep Convolutional GANs/10. Hyperparameters Solution-Rt8MlVDtpi8.mp4 7.3 MB
  • Part 08-Module 01-Lesson 04_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4 7.3 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/25. Canny Edge Detection-Nm1H2xMMS3I.mp4 7.3 MB
  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.mp4 7.3 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4 7.3 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/08. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 7.3 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/21. Viterbi Path-Hq2P6zWA9F8.mp4 7.2 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/03. LSTMs-RYbSHogZetc.mp4 7.2 MB
  • Part 02-Module 06-Lesson 05_Sentiment Prediction with RNN/03. Data Preprocessing-h4-LwZU9_k8.mp4 7.2 MB
  • Part 09-Module 06-Lesson 02_Sentiment Prediction RNN/03. Data Preprocessing-h4-LwZU9_k8.mp4 7.2 MB
  • Part 02-Module 08-Lesson 01_Concentration Previews/01. AIND Term 2-qS0tqnTyAKM.mp4 7.2 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.mp4 7.2 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.mp4 7.2 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.mp4 7.2 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/02. 02. What Is Vision-_99V1rUNFa4.mp4 7.1 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/02. 02. What Is Vision-_99V1rUNFa4.mp4 7.1 MB
  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.mp4 7.1 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/02. Course Introduction-pDJklud2grQ.mp4 7.0 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/08. Intelligence Question-87-uoGa65Ng.mp4 7.0 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.mp4 7.0 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 7.0 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 7.0 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.mp4 7.0 MB
  • Part 09-Module 06-Lesson 01_Sentiment Analysis with Andrew Trask/07. Transforming Text into Numbers-7rHBU5cbePE.mp4 7.0 MB
  • Part 01-Module 02-Lesson 04_Search/40. A Note On Implementation-P3mkDcB-nqY.mp4 7.0 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/20. Creating a Filter-VEsdTRBH3D8.mp4 6.9 MB
  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.mp4 6.9 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.9 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/13. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.9 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.mp4 6.9 MB
  • Part 08-Module 02-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.mp4 6.9 MB
  • Part 03-Module 03-Lesson 01_Completing the Program/01. Congratulations On Finishing AIND-iVDAZVqjEug.mp4 6.9 MB
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  • Part 05-Module 03-Lesson 01_Completing the Program/01. Congratulations On Finishing AIND-iVDAZVqjEug.mp4 6.9 MB
  • Part 01-Module 02-Lesson 04_Search/04. What Is A Problem-gepUYmWERZA.mp4 6.9 MB
  • Part 01-Module 03-Lesson 02_Planning/13. Classical Planning-01-L-QZvv7U0nI.mp4 6.9 MB
  • Part 08-Module 02-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.mp4 6.9 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.9 MB
  • Part 01-Module 03-Lesson 02_Planning/07. Stochastic Environment Problem-PeRJtLGm1b0.mp4 6.9 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/01. Introduction-qjjW4XOloyc.mp4 6.9 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/06. Feature Extraction-qEPu5nQ4IMg.mp4 6.8 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/06. Feature Extraction-qEPu5nQ4IMg.mp4 6.8 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/30. Backpropagation V2-1SmY3TZTyUk.mp4 6.8 MB
  • Part 08-Module 05-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.8 MB
  • Part 08-Module 02-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4 6.8 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/10. Models-Js7PDwFMGvs.mp4 6.7 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.7 MB
  • Part 08-Module 05-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.7 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/16. Simulated Annealing-xoXmFy3FSCE.mp4 6.7 MB
  • Part 01-Module 03-Lesson 02_Planning/03. Planning Vs Execution-mPKdO_3obQk.mp4 6.6 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 6.6 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/10. Generator and Discriminator Solutions-9By2pAck044.mp4 6.6 MB
  • Part 03-Module 02-Lesson 02_Image Segmentation/09. K-means Implementation-poKlg-aB4rU.mp4 6.6 MB
  • Part 08-Module 01-Lesson 03_Types of Features Image Segmentation/10. K-means Implementation-poKlg-aB4rU.mp4 6.6 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.mp4 6.5 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/04. How Computers Interpret Images-V4f6p6uRhu8.mp4 6.5 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/04. Data Prep-P5hOx09mwaM.mp4 6.4 MB
  • Part 09-Module 01-Lesson 01_Welcome to Natural Language Processing/01. Intro NLP-6myHs4e71Ys.mp4 6.4 MB
  • Part 08-Module 03-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4 6.4 MB
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.mp4 6.4 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.4 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.4 MB
  • Part 01-Module 03-Lesson 02_Planning/02. Problem Solving Vs Planning-7zfLKrkugBc.mp4 6.4 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4 6.4 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.4 MB
  • Part 08-Module 02-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 6.4 MB
  • Part 08-Module 03-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.4 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/09. Variable Elimination-af4KcnDGY0g.mp4 6.4 MB
  • Part 03-Module 02-Lesson 02_Image Segmentation/08. K-means Clustering-Cf_LSDCEBzk.mp4 6.3 MB
  • Part 08-Module 01-Lesson 03_Types of Features Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.mp4 6.3 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/02. Introduction to Simulated Annealing-R03gZei8w1o.mp4 6.3 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.3 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.mp4 6.3 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/09. First Order Logic-tSKZmDCUzLs.mp4 6.3 MB
  • Part 08-Module 02-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.mp4 6.3 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.mp4 6.3 MB
  • Part 01-Module 02-Lesson 04_Search/03. Welcome to Search!-pHySYq-wghU.mp4 6.3 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/06. How do we model an ordered sequence-LYcB8iV2bGE.mp4 6.2 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.mp4 6.2 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/06. Images as Functions-n_gbAuByN7E.mp4 6.2 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/03. Introducing Semi-Supervised Learning-tnCClNy5z5c.mp4 6.2 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/14. Combining the Models-KRjuchtNilM.mp4 6.1 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4 6.1 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4 6.1 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 6.1 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 6.1 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/15. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 6.1 MB
  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4 6.1 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/13. Training Losses-IaAeDrXMEcU.mp4 6.1 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/16. Pooling Layers-OkkIZNs7Cyc.mp4 6.1 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.mp4 6.1 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/02. Challenges in ASR-59nKRkvk6As.mp4 6.1 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/02. Challenges in ASR-59nKRkvk6As.mp4 6.1 MB
  • Part 04-Module 03-Lesson 02_Sequence to Sequence/02. Jay's Introduction-HPOzAlXhuxQ.mp4 6.1 MB
  • Part 09-Module 02-Lesson 04_Sequence to Sequence/03. Jay's Introduction-HPOzAlXhuxQ.mp4 6.1 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/04. Vanilla learning and structured input-oAt0eYD5_Tc.mp4 6.1 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.mp4 6.0 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/01. Intro To Image Processing-2zuew-nC8Ds.mp4 6.0 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/03. Motivation for RNNs-vPhD02WxMk8.mp4 6.0 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.mp4 6.0 MB
  • Part 01-Module 03-Lesson 02_Planning/14. Classical Planning 2-ZKfZV6wcSys.mp4 6.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 6.0 MB
  • Part 08-Module 05-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 6.0 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4 6.0 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/07. n-Queens Local Minima-ht3hLnulH4g.mp4 5.9 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.mp4 5.9 MB
  • Part 04-Module 02-Lesson 03_Feature Extraction/09. T-SNE-xxcK8oZ6_WE.mp4 5.8 MB
  • Part 09-Module 02-Lesson 01_Feature extraction and embeddings/09. T-SNE-xxcK8oZ6_WE.mp4 5.8 MB
  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4 5.8 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/08. When do MLPs (not) work well-deMeuLdZN3Q.mp4 5.8 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.mp4 5.8 MB
  • Part 01-Module 03-Lesson 02_Planning/12. Tracking The Predict Update Cycle-yH8ZfyGqUvQ.mp4 5.8 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/24. Gaussian Blur-1tlPonqIOrU.mp4 5.8 MB
  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.mp4 5.8 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/08. Training The Network -P-LXQPVXl4A.mp4 5.7 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.mp4 5.7 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/06. Categorical Cross-Entropy-3sDYifgjFck.mp4 5.7 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4 5.7 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/17. Simulated Simulated Annealing-GaoyN5YxtNo.mp4 5.7 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/02. 01 - Overview And Example V3-YZt5PKPVvCg.mp4 5.6 MB
  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.6 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/24. 3 3 Twists On Example 2 (1)-Xf1oAaTd42w.mp4 5.6 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/02. Structured Languages-NsmqUIHlk6U.mp4 5.6 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/02. Structured Languages-NsmqUIHlk6U.mp4 5.6 MB
  • Part 09-Module 01-Lesson 02_Intro to NLP/03. Structured Languages-NsmqUIHlk6U.mp4 5.6 MB
  • Part 04-Module 03-Lesson 02_Sequence to Sequence/05. Architecture in More Depth-rdAo4MqLbEk.mp4 5.6 MB
  • Part 09-Module 02-Lesson 04_Sequence to Sequence/06. Architecture in More Depth-rdAo4MqLbEk.mp4 5.6 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 5.6 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4 5.6 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.6 MB
  • Part 08-Module 05-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.6 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/20. 3-Player Alpha-Beta Pruning-pLMfSUp_Ckw.mp4 5.6 MB
  • Part 03-Module 02-Lesson 02_Image Segmentation/02. Image Contours-Wcbrl7Wr_kU.mp4 5.5 MB
  • Part 08-Module 01-Lesson 03_Types of Features Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.mp4 5.5 MB
  • Part 01-Module 03-Lesson 02_Planning/04. Vacuum C Example-2feZSgUSDlU.mp4 5.5 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/16. Filters Revisited!-rk7oLURq2f4.mp4 5.5 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/02. Pre-Processing-rjxFa-dae7g.mp4 5.5 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/06. Dynamic Time Warping-RvO7DhXKHn0.mp4 5.5 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.mp4 5.5 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/07. Model Validation in Keras-002jNXSM6CU.mp4 5.5 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/23. Low-pass Filters-jy5Be9vf2rk.mp4 5.4 MB
  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.mp4 5.4 MB
  • Part 01-Module 02-Lesson 04_Search/07. Tree Search Continued-8yID2dTeBSM.mp4 5.4 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/03. 03 - Enumeration V3-nJqloQLLYaI.mp4 5.4 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4 5.4 MB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.4 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 5.4 MB
  • Part 08-Module 03-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.mp4 5.4 MB
  • Part 08-Module 03-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.mp4 5.4 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/11. Syntax-YoCTYife5DE.mp4 5.3 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/08. Batching Data Solution-o3nBxHJLQcc.mp4 5.3 MB
  • Part 01-Module 03-Lesson 02_Planning/06. Partially Observable Vacuum Cleaner Example-cuBdsTLroyY.mp4 5.3 MB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/17. Motion -A-QJf04LBb0.mp4 5.3 MB
  • Part 08-Module 03-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.mp4 5.3 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 5.3 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/07. Getting Started with GANs-QA2ntKUha4g.mp4 5.3 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.3 MB
  • Part 08-Module 03-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.mp4 5.3 MB
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/09. Get Started-02a0kppl3EQ.mp4 5.2 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/14. FOL Question 2-8e0LIXps-tU.mp4 5.2 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/01. Welcome to NLP-g-AlFF61p0I.mp4 5.2 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/01. Welcome to NLP-g-AlFF61p0I.mp4 5.2 MB
  • Part 09-Module 01-Lesson 02_Intro to NLP/02. Welcome to NLP-g-AlFF61p0I.mp4 5.2 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/25. The Branching Factor-SXsEWK3CNaw.mp4 5.2 MB
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/11. Constraint Propagation and Arc Consistency-xwic9sDWj94.mp4 5.2 MB
  • Part 04-Module 02-Lesson 02_Text Processing/12. Stemming And Lemmatization-7Gjf81u5hmw.mp4 5.2 MB
  • Part 09-Module 01-Lesson 03_Text Processing/13. Stemming And Lemmatization-7Gjf81u5hmw.mp4 5.2 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.mp4 5.1 MB
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  • Part 07-Module 02-Lesson 01_GitHub Review/16. Outro-dps7Ti6Lado.mp4 5.1 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/22. Probabilistic Games-YMDCSCAA5yg.mp4 5.1 MB
  • Part 01-Module 04-Lesson 01_Probability/18. Bayes Rule-3AWOaMo8Vi8.mp4 5.1 MB
  • Part 08-Module 02-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.mp4 5.1 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/04. Truth Tables-1irht1fnZ_0.mp4 5.1 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/22. Error Function-V5kkHldUlVU.mp4 5.1 MB
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/08. Improving Backtracking Efficiency-enspbjemU1k.mp4 5.1 MB
  • Part 02-Module 06-Lesson 04_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp4 5.0 MB
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  • Part 01-Module 03-Lesson 01_Logic and Reasoning/12. Vacuum World-1oyaltpn6HI.mp4 5.0 MB
  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.mp4 5.0 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.mp4 5.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/28. Combinando modelos-Boy3zHVrWB4.mp4 5.0 MB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.mp4 5.0 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/02. Section 1 Introduction-_zo6RiwmDCk.mp4 4.9 MB
  • Part 04-Module 02-Lesson 03_Feature Extraction/08. Embeddings For Deep Learning-gj8u1KG0H2w.mp4 4.9 MB
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  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/13. Output And Loss Solutions-CT8hcU7FmGc.mp4 4.9 MB
  • Part 01-Module 02-Lesson 04_Search/19. 17 - Uniform Cost Search 5-oiJLwSnrEDA.mp4 4.9 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/36. Stochastic Beam Search-5sB93q26tng.mp4 4.9 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.mp4 4.9 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/04. Unstructured Text-OmwSdaec5vU.mp4 4.9 MB
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  • Part 01-Module 02-Lesson 04_Search/39. Problems With Search-5RmTKsNoG6M.mp4 4.8 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/03. 03. Role In AI Render-xm1TXnNe5Pw.mp4 4.8 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/03. 03. Role In AI Render-xm1TXnNe5Pw.mp4 4.8 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/18. 3-Player Games-NSvurEyGn9k.mp4 4.8 MB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/09. Histogram of Oriented Gradients-dqe9zGtxoNM.mp4 4.8 MB
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  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.mp4 4.8 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.8 MB
  • Part 03-Module 02-Lesson 02_Image Segmentation/06. Hough Line Detection-PVIUkQKbrUw.mp4 4.7 MB
  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/20. Hough Line Detection-PVIUkQKbrUw.mp4 4.7 MB
  • Part 04-Module 03-Lesson 02_Sequence to Sequence/04. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.7 MB
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  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.7 MB
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  • Part 01-Module 04-Lesson 01_Probability/03. Probability Coin Flip-0Ggcz7RD8EY.mp4 4.7 MB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/01. Intro-1sm1EbfilXI.mp4 4.7 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/04. 05 - Speeding Up Enumeration V3-oG8Ivz5wfHQ.mp4 4.7 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4 4.7 MB
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.mp4 4.6 MB
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  • Part 01-Module 02-Lesson 04_Search/02. Introducing Peter Norvig-d8r3uBQ6HNA.mp4 4.6 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/03. Propositional Logic-WFgIrX49vjI.mp4 4.6 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/05. MLPs For Image Classification-TIFStebu530.mp4 4.6 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.mp4 4.6 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/05. 04 CNNRNN Model V3-n7kdMiX1Xz8.mp4 4.6 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/24. Outro-xMXF5PQxHnk.mp4 4.6 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/24. Outro-xMXF5PQxHnk.mp4 4.6 MB
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  • Part 01-Module 02-Lesson 04_Search/34. State Spaces 2-GeJpB_st92s.mp4 4.6 MB
  • Part 01-Module 03-Lesson 02_Planning/16. Regression Search-iRHAGz4-ybY.mp4 4.6 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/12. Building the Network Solution-Ikp3rVzG970.mp4 4.5 MB
  • Part 01-Module 02-Lesson 04_Search/20. Search Comparison-RMt_NiyY4nU.mp4 4.5 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.mp4 4.5 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/04. 4-Queens-gIKqZNgVgJw.mp4 4.5 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.mp4 4.5 MB
  • Part 08-Module 09-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.5 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/12. Network Loss-itu-uNK4brc.mp4 4.5 MB
  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4.5 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.mp4 4.4 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/11. Building the Network-5sZkRSHfiAE.mp4 4.4 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/42. Dropout-Ty6K6YiGdBs.mp4 4.4 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.mp4 4.4 MB
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  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/13. Structured CSPs-d4H0DZhuMe4.mp4 4.4 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/04. When Color IS Important-vGOdRzXapNY.mp4 4.4 MB
  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/01. 02 SLAM V1-UVkkDPJshgM.mp4 4.4 MB
  • Part 01-Module 03-Lesson 02_Planning/20. 23 Situation Calculus 1 V3 (1)--6qeiUZouVE.mp4 4.4 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.mp4 4.4 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/11. 09 Additive Attention V2-93VfVWZ-IvY.mp4 4.4 MB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.mp4 4.4 MB
  • Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.mp4 4.4 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/01. 矩阵介绍-Ugx3mldc0lE.mp4 4.4 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/14. FOL Question Solution 2-py1Nvzip3p8.mp4 4.4 MB
  • Part 02-Module 07-Lesson 03_Semisupervised Learning/11. Model Optimizer Solution-_Qhz9SbR7xY.mp4 4.3 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 4.3 MB
  • Part 02-Module 06-Lesson 04_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.3 MB
  • Part 08-Module 02-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.3 MB
  • Part 08-Module 03-Lesson 01_Introduction to Motion/06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.mp4 4.3 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.mp4 4.3 MB
  • Part 03-Module 02-Lesson 02_Image Segmentation/01. Image Segmentation-Bi25woWxoYU.mp4 4.3 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/12. Types of AI Problems - Question-ug3dQR7isVg.mp4 4.3 MB
  • Part 08-Module 07-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.mp4 4.3 MB
  • Part 01-Module 02-Lesson 04_Search/13. Breath First Search 5-eyN4162UjH8.mp4 4.3 MB
  • Part 01-Module 02-Lesson 04_Search/18. Uniform Cost Search 4-yO_uxVtEjq8.mp4 4.3 MB
  • Part 08-Module 03-Lesson 05_Representing State and Motion/01. Localization Steps-4SiMoSTf4rQ.mp4 4.3 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/24. Max Moves-nExt1uHfhhc.mp4 4.2 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/02. Dolphin Whistles-jC3DhOdhmm0.mp4 4.2 MB
  • Part 02-Module 06-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.mp4 4.2 MB
  • Part 08-Module 02-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.mp4 4.2 MB
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  • Part 01-Module 04-Lesson 02_Bayes Nets/07. Conditional Independence2 Solution-oLRICkGjBoM.mp4 4.2 MB
  • Part 01-Module 03-Lesson 02_Planning/19. 22 Sliding Puzzle Example-sKTEtQTWYbw.mp4 4.2 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 4.2 MB
  • Part 04-Module 02-Lesson 03_Feature Extraction/02. Bag Of Words-A7M1z8yLl0w.mp4 4.2 MB
  • Part 09-Module 02-Lesson 01_Feature extraction and embeddings/02. Bag Of Words-A7M1z8yLl0w.mp4 4.2 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/06. Quick Fixes-Lb9e2KemR6I.mp4 4.2 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/02. IntroToRNNs Render-64HSG6HAfEI.mp4 4.2 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/04. Exponential b=3-wcymdZfVo3U.mp4 4.2 MB
  • Part 01-Module 03-Lesson 02_Planning/21. 24 Situation Calculus 2 V4-tVkLmXCId28.mp4 4.1 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 4.1 MB
  • Part 08-Module 05-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 4.1 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/12. Types of AI Problems - Explanations-UgEM0P7-6c8.mp4 4.1 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/09. Beta Distributions-jR4sf50AFio.mp4 4.1 MB
  • Part 01-Module 03-Lesson 02_Planning/22. 25 Situation Calculus 3 V2-XGeYon1VXpc.mp4 4.1 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/17. 3 1 2 Introducing A Parameterized Formula-I72EOcAroFk.mp4 4.1 MB
  • Part 08-Module 02-Lesson 02_YOLO/10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.mp4 4.1 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.mp4 4.1 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.mp4 4.1 MB
  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.mp4 4.1 MB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.mp4 4.1 MB
  • Part 09-Module 08-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.mp4 4.1 MB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4 4.1 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/11. 09 On To The Project V2-MsxNRaYTNSk.mp4 4.1 MB
  • Part 02-Module 07-Lesson 02_Deep Convolutional GANs/08. Discriminator Solution-ffPWI2yJscw.mp4 4.1 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/04. Tic Tac Toe Question-TxzJK30qPC4.mp4 4.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/04. Linear Boundaries-X-uMlsBi07k.mp4 4.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 4.0 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/15. HMMs in Speech Recognition-9H2wP7g9d1g.mp4 4.0 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/15. HMMs in Speech Recognition-9H2wP7g9d1g.mp4 4.0 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/15. 51 - General Bayes Net-_Nc0cJwRMgI.mp4 4.0 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/06. Conditional Independence-nZXNdVUauDY.mp4 4.0 MB
  • Part 04-Module 02-Lesson 03_Feature Extraction/07. GloVe-KK3PMIiIn8o.mp4 4.0 MB
  • Part 09-Module 02-Lesson 01_Feature extraction and embeddings/07. GloVe-KK3PMIiIn8o.mp4 4.0 MB
  • Part 01-Module 02-Lesson 04_Search/42. Introduction to the Lab-Agp5y6PG5ug.mp4 4.0 MB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/20. Congratulations!-MRm31x4VAoI.mp4 4.0 MB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 4.0 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/03. 31 - Computing Bayes Rules Merged FINAL-JW6a4FYCsh0.mp4 4.0 MB
  • Part 01-Module 02-Lesson 04_Search/15. Uniform Cost Search 1-nBdlU4jIDqU.mp4 4.0 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4 4.0 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4 4.0 MB
  • Part 01-Module 02-Lesson 04_Search/16. Uniform Cost Search 2-_cSf_1QNaOY.mp4 3.9 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/23. AIND RNN 3 2 2-R4ACff0v7Vk.mp4 3.9 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4 3.9 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4 3.9 MB
  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4 3.9 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/23. Gradient Descent-rhVIF-nigrY.mp4 3.9 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/16. AIND RNN 3 1 1-NMZ4fU2CuHg.mp4 3.9 MB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4 3.9 MB
  • Part 08-Module 03-Lesson 01_Introduction to Motion/08. 04 Tracking Features V2-uFf6IZ5MxgU.mp4 3.9 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/03. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.9 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/27. The Branching Factor (Contd.)-mPi1eUToCjk.mp4 3.9 MB
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/07. Backtracking Search-BywESqWoiuI.mp4 3.9 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 3.8 MB
  • Part 08-Module 03-Lesson 05_Representing State and Motion/09. Always Moving-EQBQlHvxAQA.mp4 3.8 MB
  • Part 08-Module 03-Lesson 01_Introduction to Motion/05. 01 Motion Vector V2-I3f3IEUI2tg.mp4 3.8 MB
  • Part 01-Module 03-Lesson 02_Planning/05. Sensorless Vacuum CleanerProblem-sCMsi5r_Gpk.mp4 3.8 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/09. Confounding Cause-mI88dXJ0WFQ.mp4 3.8 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/11. 47 - Explaining Away 2 Solution V3-t8FAUMTzXcE.mp4 3.8 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/11. Emotion as a Service-2jAP3rP3USM.mp4 3.8 MB
  • Part 03-Module 01-Lesson 02_Intro to Computer Vision/11. Emotion as a Service-2jAP3rP3USM.mp4 3.8 MB
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/02. Introduction-T_yhf2HrPfQ.mp4 3.8 MB
  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 3.8 MB
  • Part 02-Module 06-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.mp4 3.8 MB
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  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.mp4 3.7 MB
  • Part 01-Module 01-Lesson 02_Introduction to AI/06. Monty Hall Problem-CPVn4_eSDGA.mp4 3.7 MB
  • Part 01-Module 02-Lesson 04_Search/08. Graph Search -A8GjRaPJQ5E.mp4 3.7 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/10. LSTM Cell Solution-X4uA0dq_4jA.mp4 3.7 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/12. Error Functions-YfUUunxWIJw.mp4 3.7 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/23. Sloppy Isolation-rxyyqogIdg4.mp4 3.7 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/36. Quiescent Search-zpZf9TmI1NY.mp4 3.7 MB
  • Part 01-Module 02-Lesson 04_Search/22. Search Comparison 2-Fh5b8xVJhR8.mp4 3.7 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/09. Evaluating Evaluation Functions-Ng43Pq0-CLo.mp4 3.7 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.7 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.7 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.7 MB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/13. Train a Classifier-P55Jp7GdO54.mp4 3.6 MB
  • Part 01-Module 03-Lesson 02_Planning/08. Infinite Sequences-cGJkBruPiSw.mp4 3.6 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.mp4 3.6 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/03. Understanding Exponential Time-i4lD5p1vNtk.mp4 3.6 MB
  • Part 04-Module 02-Lesson 01_Natural Language Processing/04. Feature Extraction-UgENzCmfFWE.mp4 3.6 MB
  • Part 09-Module 01-Lesson 02_Intro to NLP/11. Feature Extraction-UgENzCmfFWE.mp4 3.6 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.6 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4 3.6 MB
  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/14. Training Optimizers-AU5gH7LS57E.mp4 3.6 MB
  • Part 09-Module 01-Lesson 02_Intro to NLP/01. Intro Arpan-MW5MWOLj064.mp4 3.6 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/31. RNNs 4 3 Formulating A Least Squares Loss-F5PVwVrEVHY.mp4 3.6 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/20. D Separation 2 Solution-gbb8ZI_zwY4.mp4 3.6 MB
  • Part 02-Module 06-Lesson 04_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.6 MB
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  • Part 01-Module 02-Lesson 04_Search/21. Search Comparison 1-JbJMxp3Lva4.mp4 3.6 MB
  • Part 04-Module 02-Lesson 01_Natural Language Processing/01. Natural Language Processing-UQBxJzoCp-I.mp4 3.6 MB
  • Part 09-Module 01-Lesson 02_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.mp4 3.6 MB
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  • Part 07-Module 02-Lesson 01_GitHub Review/02. GitHub profile important items-prvPVTjVkwQ.mp4 3.5 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/17. N-Grams-cSP1p9wWhHg.mp4 3.5 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/17. N-Grams-cSP1p9wWhHg.mp4 3.5 MB
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/15. Propagating Values Up the Tree-WpHKf4righw.mp4 3.5 MB
  • Part 01-Module 03-Lesson 02_Planning/11. Problem Solving Via Mathematical Notation-RfegaXkc8Fo.mp4 3.4 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/33. 27 Sense And Move V2-v2dYzm6-YVs.mp4 3.4 MB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.mp4 3.4 MB
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  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3.4 MB
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  • Part 03-Module 02-Lesson 03_Features and Object Recognition/12. Object Recognition-LgFhh6pQ-N4.mp4 3.4 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.mp4 3.4 MB
  • Part 04-Module 02-Lesson 02_Text Processing/07. Tokenization-4Ieotbeh4u8.mp4 3.4 MB
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  • Part 04-Module 02-Lesson 02_Text Processing/06. Normalization-eOV2UUY8vtM.mp4 3.3 MB
  • Part 09-Module 01-Lesson 03_Text Processing/08. Normalization-eOV2UUY8vtM.mp4 3.3 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/28. Layers-pg99FkXYK0M.mp4 3.3 MB
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  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4 3.2 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/41. Segmentally Boosted HMMs-4WVv1qPm7js.mp4 3.2 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.mp4 3.2 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/06. Horizon Effect-3gkCpeU-3Wc.mp4 3.2 MB
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.mp4 3.2 MB
  • Part 01-Module 03-Lesson 02_Planning/10. Finding A Successful Plan Question-GxZtyI3F8IU.mp4 3.2 MB
  • Part 01-Module 02-Lesson 04_Search/31. Optimistic Heuristic-Q5YJtZc37uc.mp4 3.2 MB
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  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/23. Haar Cascades-vALIpxVfKRc.mp4 3.2 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/06. Matrices-xBrotILG97c.mp4 3.2 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/26. Which Gesture is Recognized-fcYZoVZpAZ0.mp4 3.2 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4 3.2 MB
  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.mp4 3.2 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.2 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/52. Outro-HZt6bf73bOo.mp4 3.2 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/35. Section Course Summary-gYCL4RBvzRM.mp4 3.2 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.mp4 3.2 MB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/03. Fully Convolutional Networks-_Lh2ozg5yTs.mp4 3.1 MB
  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.mp4 3.1 MB
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  • Part 04-Module 02-Lesson 03_Feature Extraction/06. Word2Vec-7jjappzGRe0.mp4 3.1 MB
  • Part 09-Module 02-Lesson 01_Feature extraction and embeddings/06. Word2Vec-7jjappzGRe0.mp4 3.1 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/13. MIN and MAX Levels-dRBNRN_3t20.mp4 3.1 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/34. Training Optimization-UiGKhx9pUYc.mp4 3.1 MB
  • Part 08-Module 05-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.mp4 3.1 MB
  • Part 04-Module 02-Lesson 01_Natural Language Processing/03. Text Processing-pqheVyctkNQ.mp4 3.1 MB
  • Part 09-Module 01-Lesson 02_Intro to NLP/10. Text Processing-pqheVyctkNQ.mp4 3.1 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/43. Using HMMs to Generate Data-WJxdT_YPNUA.mp4 3.1 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/15. Sampling Example-bLTIEwA-vTo.mp4 3.1 MB
  • Part 02-Module 05-Lesson 01_Autoencoders/01. Introducing Mat-nWspXdHFtFQ.mp4 3.1 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/05. Matrix Multiplication-8GE2EvgdG1Y.mp4 3.1 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/13. FOL Question Solution-1-cvVrjKoNY.mp4 3.1 MB
  • Part 01-Module 02-Lesson 04_Search/29. A Search 4-B_rOIxwLzr8.mp4 3.1 MB
  • Part 09-Module 02-Lesson 03_Sentiment Analysis/02. Sentiment Analysis 1-5aIgZ3llgSo.mp4 3.1 MB
  • Part 08-Module 01-Lesson 04_Feature Vectors/04. 02 Introduction To ORB V3-WN37zcMhMas.mp4 3.1 MB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.08.11-pm.png 3.0 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/img/screen-shot-2016-11-24-at-12.08.11-pm.png 3.0 MB
  • Part 01-Module 02-Lesson 04_Search/32. State Spaces-1MpklNG26TA.mp4 3.0 MB
  • Part 08-Module 02-Lesson 02_YOLO/06. 05 Training On A Grid V2-uhefpakvXh8.mp4 3.0 MB
  • Part 02-Module 06-Lesson 03_Implementing RNNs and LSTMs/04. Character-Wise RNN-dXl3eWCGLdU.mp4 3.0 MB
  • Part 08-Module 02-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Wise RNN-m_S2hs6-j5w.mp4 3.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 3.0 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/22. AIND RNN 3 2 1-ZFWOCob2gZ8.mp4 3.0 MB
  • Part 04-Module 02-Lesson 04_Modeling/01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.mp4 3.0 MB
  • Part 01-Module 03-Lesson 02_Planning/17. Regression Vs Progression-mopxyx2Lu6k.mp4 3.0 MB
  • Part 08-Module 03-Lesson 05_Representing State and Motion/08. Lesson Outline-jh7wLGXrm3E.mp4 3.0 MB
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/12. Deploying a Bluemix Application-YF2SgUXzk9k.mp4 3.0 MB
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/12. Deploying a Bluemix Application-YF2SgUXzk9k.mp4 3.0 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.mp4 3.0 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4 3.0 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/15. AIND RNN 3 0-jXdIx18dIa0.mp4 3.0 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.mp4 3.0 MB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/06. Write the Conclusion-i3ozyhGPmIg.mp4 3.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 3.0 MB
  • Part 08-Module 05-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 3.0 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/13. Conditional Dependence-eyFHJV804Dw.mp4 3.0 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/13. Step Size Too Large-RG-Jd_XMmhg.mp4 2.9 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/07. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 2.9 MB
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  • Part 08-Module 01-Lesson 01_Image Representation Classification/03. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 2.9 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.mp4 2.9 MB
  • Part 01-Module 03-Lesson 02_Planning/09. Finding A Successful Plan-nMM4ajrSFR4.mp4 2.9 MB
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  • Part 01-Module 04-Lesson 04_Hidden Markov Models/17. Viterbi Trellis I-0UDTzAgGkxA.mp4 2.9 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/28. Max Number of Nodes-x4l3DUlBAMw.mp4 2.9 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/07. Sakoe Chiba Bounds-uSb94YU69z8.mp4 2.9 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.mp4 2.8 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/16. Language Models-vrrP9fzJGSE.mp4 2.8 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/16. Language Models-vrrP9fzJGSE.mp4 2.8 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/21. Gibbs Sampling-z5QAAcmg1KQ.mp4 2.8 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/39. State Tying-eZe3mTiOmhA.mp4 2.8 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.mp4 2.8 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.mp4 2.8 MB
  • Part 01-Module 02-Lesson 04_Search/35. State Spaces 3-moV7C7XAKJc.mp4 2.8 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/05. Truth Table Question Solution-RzxsZEUFtdI.mp4 2.8 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/04. 33 - Two Test Cancer Solution V4-uhQfzm0VyAQ.mp4 2.8 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/38. Statistical Grammar-pi5sqYVO8SY.mp4 2.8 MB
  • Part 08-Module 08-Lesson 02_3D CNN's/img/5.gif 2.8 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4 2.7 MB
  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/09. Search-omveZu2gRLs.mp4 2.7 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.mp4 2.7 MB
  • Part 08-Module 03-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.mp4 2.7 MB
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  • Part 08-Module 02-Lesson 07_Image Captioning/10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4 2.7 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.mp4 2.7 MB
  • Part 09-Module 07-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.mp4 2.7 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/16. Approximate Inference2-fL5oNp3ixnw.mp4 2.7 MB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4 2.7 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/02. 02 Leveraging Neural Networks V3-thClOUTiNxY.mp4 2.7 MB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/08. Propositional Logic Limitations-33aEJGHoC8s.mp4 2.7 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/04. 概率分布入门 1-gqPjMDVFvNg.mp4 2.7 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4 2.7 MB
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  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/01. Introducing Jeremy-U7RmFpVevis.mp4 2.6 MB
  • Part 01-Module 02-Lesson 04_Search/37. Sliding Blocks Puzzle 1-jchVkcBg9HQ.mp4 2.6 MB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/11. Scene Understanding-aMQREc-mP50.mp4 2.6 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/05. 03 Localization V1-OB6GZxfvESw.mp4 2.6 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/22. Monty Hall Problem-9I0jIlsiQEc.mp4 2.6 MB
  • Part 01-Module 03-Lesson 02_Planning/15. Progression Search-k87rq_dJlM8.mp4 2.6 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/03. Traveling Salesman Problem-dtCpwQsSthY.mp4 2.6 MB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/08. Feature Vectors--PF1_MITrOw.mp4 2.6 MB
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  • Part 01-Module 02-Lesson 05_Simulated Annealing/26. Challenge Question Revisited-AIa8gmHseGM.mp4 2.6 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/10. 44 - Explaining Away V5-6oUOPmummBA.mp4 2.6 MB
  • Part 04-Module 03-Lesson 02_Sequence to Sequence/03. Applications seq2seq-tDJBDwriJYQ.mp4 2.6 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.mp4 2.6 MB
  • Part 09-Module 02-Lesson 04_Sequence to Sequence/04. Applications seq2seq-tDJBDwriJYQ.mp4 2.6 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/19. Viterbi Trellis I (continued)-tqYJnaQfsn0.mp4 2.6 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/29. Depth-Limited Search-EZ8pO3PEFYU.mp4 2.6 MB
  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.mp4 2.6 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.mp4 2.6 MB
  • Part 08-Module 02-Lesson 03_RNN's/img/screen-shot-2017-10-27-at-1.29.13-pm.png 2.6 MB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-10-27-at-1.29.13-pm.png 2.6 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/03. 04 - Enumeration Solution V2-POwkCkWVfMM.mp4 2.6 MB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/01. Feature Extraction and Object Recognition-u114Q9QnSiI.mp4 2.5 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.mp4 2.5 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/36. Outro-LurBj_gmFwk.mp4 2.5 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.mp4 2.5 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/06. 05 Attention Encoder V2-sphe9LDT4rA.mp4 2.5 MB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-12.58.16-pm.png 2.5 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/06. Building a Game Tree-92VDHI0s7DI.mp4 2.5 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/19. D Separation Solution-5jaaaLnKxeg.mp4 2.5 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/30. Baum Welch-BkG_JAtP5VY.mp4 2.5 MB
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  • Part 04-Module 02-Lesson 02_Text Processing/03. Capturing Text Data-Z4mnMN1ApG4.mp4 2.5 MB
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  • Part 01-Module 04-Lesson 01_Probability/17. Cancer 04 Solution-0kysZ1l_f8Y.mp4 2.5 MB
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/34. Testing Evaluation Functions-6x-zfTyo81I.mp4 2.4 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp4 2.4 MB
  • Part 08-Module 09-Lesson 07_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4 2.4 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/44. Other Activation Functions-kA-1vUt6cvQ.mp4 2.4 MB
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  • Part 01-Module 04-Lesson 02_Bayes Nets/02. 29 - Bayes Network Merged FINAL-4BDrdyCG4xc.mp4 2.4 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/img/two-speechsignals-aligned.png 2.4 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/img/two-speechsignals-aligned.png 2.4 MB
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  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/10. Forward Checking-zky3gYXm0EM.mp4 2.4 MB
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  • Part 07-Module 02-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.mp4 2.4 MB
  • Part 03-Module 02-Lesson 02_Image Segmentation/img/screen-shot-2017-06-26-at-7.20.18-pm.png 2.4 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/23. GA Mutation-7ZX6Su2Xdi0.mp4 2.4 MB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.mp4 2.3 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/50. Keras Lab-a50un22BsLI.mp4 2.3 MB
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  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/03. Map Coloring-2va57vCvvYs.mp4 2.3 MB
  • Part 08-Module 03-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.mp4 2.3 MB
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/18. Choosing the Best Branch-ftcZMraEokg.mp4 2.2 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.mp4 2.2 MB
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  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/08. NLPND POS 07 Solution How Many Paths V1-5ZITaEcNMpM.mp4 2.2 MB
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  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/14. Iterative Algorithms-2PTww5EohuU.mp4 2.2 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/15. HMM We-1mtzJGhRYHg.mp4 2.2 MB
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  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/02. Introducing Alexis-38ExGpdyvJI.mp4 2.2 MB
  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/05. Eliminate-6rFOX2jHB2g.mp4 2.1 MB
  • Part 01-Module 02-Lesson 04_Search/14. Uniform Cost Search-oPe45CJ_o0k.mp4 2.1 MB
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  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/18. 26 - Likelihood Weighting V2-hB3Gk9OwYo8.mp4 2.1 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.mp4 2.1 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/27. Introduction to Section 4-xx4PxKWVmHo.mp4 2.1 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/22. GA Crossover-DZKcgbvXONI.mp4 2.1 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/13. Alpha-Beta Pruning Quiz 2-3fzETdaSGfA.mp4 2.1 MB
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  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/23. Monty Hall Letter -gLIwvTmu7N0.mp4 2.1 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/04. Latent Variables-9JQ51vOh_NY.mp4 2.1 MB
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  • Part 01-Module 03-Lesson 01_Logic and Reasoning/07. Terminology Solution-1gKn-Ovuiu0.mp4 2.0 MB
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  • Part 01-Module 02-Lesson 05_Simulated Annealing/06. n-Queens Heuristic Function-hTVO07COpwg.mp4 2.0 MB
  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/07. Constraint Propagation-aSYDBcbvC5Y.mp4 2.0 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.mp4 2.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.mp4 2.0 MB
  • Part 01-Module 03-Lesson 02_Planning/07. Stocastic Environment Problem Solution-PzrmFfrgwkc.mp4 2.0 MB
  • Part 08-Module 02-Lesson 02_YOLO/09. 07 Too Many Boxes V2-nYDWsFdFnQ8.mp4 2.0 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/14. HMM I-CBW2C3lwbz4.mp4 2.0 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/10. 45 - Explaining Away Solution V3-gvtMwxu53tA.mp4 2.0 MB
  • Part 03-Module 02-Lesson 04_CV Capstone Facial Keypoint Detection/img/obamas-with-keypoints.png 2.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/28. Multiclass Classification-uNTtvxwfox0.mp4 2.0 MB
  • Part 08-Module 05-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.mp4 2.0 MB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/12. How Do We Tell the Computer Not to Lose-mLZZCtXkBHw.mp4 2.0 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/34. Technical Issues-6Bpu_XydW2k.mp4 2.0 MB
  • Part 01-Module 02-Lesson 04_Search/26. A Search 1-yMUqkCzFXts.mp4 2.0 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.mp4 2.0 MB
  • Part 01-Module 04-Lesson 01_Probability/09. Dependence Solution--xEKsTfKmzY.mp4 1.9 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/11. Hill Climbing Quiz-rEaazmd7fuI.mp4 1.9 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.mp4 1.9 MB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/img/screen-shot-2017-06-26-at-12.46.09-pm.png 1.9 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4 1.9 MB
  • Part 04-Module 02-Lesson 02_Text Processing/01. Text Processing-6LO6I5M18PQ.mp4 1.9 MB
  • Part 09-Module 01-Lesson 03_Text Processing/01. Text Processing-6LO6I5M18PQ.mp4 1.9 MB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/08. Good Evaluation Functions-iUS_j66XmMU.mp4 1.8 MB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/09. Semantic Segmentation-_L5gJnZrw48.mp4 1.8 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/17. Rejection Sampling-JAqHB2z0quY.mp4 1.8 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/13. Summarizing recursivity-l1H8dfGW2A4.mp4 1.8 MB
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  • Part 08-Module 05-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.mp4 1.8 MB
  • Part 08-Module 02-Lesson 07_Image Captioning/img/screen-shot-2018-05-03-at-3.15.20-pm.png 1.8 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.mp4 1.8 MB
  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4 1.8 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/03. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4 1.8 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.8 MB
  • Part 08-Module 05-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.8 MB
  • Part 02-Module 06-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.mp4 1.8 MB
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  • Part 01-Module 02-Lesson 05_Simulated Annealing/12. Step Size Too Small-jiqO9_6Vdg4.mp4 1.8 MB
  • Part 09-Module 02-Lesson 04_Sequence to Sequence/img/jihadsquare.jpg 1.8 MB
  • Part 09-Module 02-Lesson 05_Deep Learning Attention/img/jihadsquare.jpg 1.8 MB
  • Part 09-Module 02-Lesson 06_RNN Keras Lab/img/jihadsquare.jpg 1.8 MB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/06. Skip Connections-JUYLA5PWzo0.mp4 1.8 MB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/26. 3 5 Summary-imv4cLtF38o.mp4 1.8 MB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.mp4 1.7 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/12. 49 - Explaining Away 3 Solution V3-zx2Y-bfEa-g.mp4 1.7 MB
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.mp4 1.7 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/05. Euclidean Distance Not Sufficient-IdIiVJG4M0c.mp4 1.7 MB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.mp4 1.7 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/12. Sample A Topic-znDgb27W5As.mp4 1.7 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/12. Sample A Topic-Ft2YjIlpF1A.mp4 1.7 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/skin-disease-classes.png 1.7 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/09. Confounding Cause Solution-3vMJe0wNjq4.mp4 1.7 MB
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  • Part 09-Module 02-Lesson 02_Topic Modeling/03. Bag Of Words-WILdZVzSAiE.mp4 1.7 MB
  • Part 01-Module 03-Lesson 02_Planning/10. Finding A Successful Plan Question Solution-1RxpNy3X82Q.mp4 1.7 MB
  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/img/arpan-happy-results.png 1.7 MB
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  • Part 02-Module 02-Lesson 01_Deep Neural Networks/03. Classification Example-46PywnGa_cQ.mp4 1.7 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/20. 60 - D Separation 2-2YFcQLx1wck.mp4 1.7 MB
  • Part 01-Module 02-Lesson 04_Search/12. Breath First Search 4-WOANyG8rf0k.mp4 1.7 MB
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/02. NLPND POS 01 Intro V1-P4aMooNAGVs.mp4 1.7 MB
  • Part 07-Module 02-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 1.7 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/03. Problems Matching Dolphin Whistles-zZkY-tggNTA.mp4 1.7 MB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.mp4 1.7 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp4 1.7 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/lesions.png 1.6 MB
  • Part 08-Module 03-Lesson 02_Robot Localization/17. 16 Test Sense Function V1-gytbuOI9-3g.mp4 1.6 MB
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/09. Backtracking Optimization Quiz-zgjIf9jNft0.mp4 1.6 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.mp4 1.6 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/18. Local Beam Search-rCFlfKpc130.mp4 1.6 MB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.mp4 1.6 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4 1.6 MB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/img/hmmstates.png 1.6 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/img/hmmstates.png 1.6 MB
  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.mp4 1.6 MB
  • Part 02-Module 06-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 1.6 MB
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  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.mp4 1.5 MB
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  • Part 01-Module 02-Lesson 02_Advanced Game Playing/02. Iterative Deepening-vy5wR-gk_Js.mp4 1.5 MB
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/15. Sampling Example Solution-JSA1vKbqgWo.mp4 1.5 MB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4 1.5 MB
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  • Part 02-Module 08-Lesson 02_Intro to Computer Vision/img/arpan-shocked.png 1.4 MB
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  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4 1.4 MB
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/04. Constraint Graph-vwyNzW2GTtM.mp4 1.4 MB
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  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/img/t-sne-mnist.png 1.4 MB
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  • Part 01-Module 02-Lesson 02_Advanced Game Playing/08. Good Evaluation Functions-Hizo0Dr0NZ0.mp4 1.4 MB
  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/06. Only Choice-sSjYn-Kex1A.mp4 1.4 MB
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  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.mp4 1.4 MB
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  • Part 09-Module 02-Lesson 03_Sentiment Analysis/01. Intro-MXeF39TDdZY.mp4 1.3 MB
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  • Part 06-Module 01-Lesson 01_Conduct a Job Search/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.3 MB
  • Part 06-Module 02-Lesson 01_Refine Your Entry-Level Resume/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.3 MB
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  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.3 MB
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  • Part 07-Module 02-Lesson 01_GitHub Review/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.3 MB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/19. Representing n-Queens-VBqBdzYLUkM.mp4 1.3 MB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4 1.3 MB
  • Part 08-Module 09-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.mp4 1.3 MB
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  • Part 09-Module 01-Lesson 02_Intro to NLP/12. Modeling-P4w_2rkxBvE.mp4 1.2 MB
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  • Part 08-Module 01-Lesson 03_Types of Features Image Segmentation/img/screen-shot-2018-04-19-at-4.24.35-pm.png 1.2 MB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.mp4 1.2 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.mp4 1.2 MB
  • Part 01-Module 04-Lesson 02_Bayes Nets/17. General Bayes Net 3 Solution-j_2P_xAS_z0.mp4 1.2 MB
  • Part 06-Module 01-Lesson 01_Conduct a Job Search/04. Open Yourself Up to Opportunity-1OamTNkk1xM.mp4 1.2 MB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4 1.2 MB
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  • Part 08-Module 03-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.mp4 1.2 MB
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  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.mp4 1.2 MB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.mp4 1.2 MB
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  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/12. Constraint Propagation Quiz-ThGgDbFTwh4.mp4 1.2 MB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/33. Using a Mixture of Gaussians-Zi2h6KWN4YE.mp4 1.2 MB
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  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/img/animatedgears.gif 1.2 MB
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  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.mp4 1.1 MB
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  • Part 01-Module 02-Lesson 05_Simulated Annealing/img/hill-climbing-with-simulated-annealing.gif 1.1 MB
  • Part 09-Module 02-Lesson 02_Topic Modeling/01. Introduction-pmpHsYaKxr0.mp4 1.1 MB
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  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/img/screen-shot-2018-04-23-at-11.34.35-pm.png 1.1 MB
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  • Part 01-Module 04-Lesson 04_Hidden Markov Models/13. Delta-y Quiz-LiDdrJjjjfc.mp4 1.1 MB
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  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/img/spectrogram.png 1.0 MB
  • Part 09-Module 03-Lesson 03_Speech Recognition/img/spectrogram.png 1.0 MB
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  • Part 01-Module 03-Lesson 01_Logic and Reasoning/06. Propositional Logic Question Solution-Ixs5ETyQRCs.mp4 942.0 kB
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  • Part 01-Module 04-Lesson 01_Probability/16. Cancer 03 Solution-tMxVjJFFcbY.mp4 890.9 kB
  • Part 01-Module 02-Lesson 04_Search/27. A Search 2 Solution-kvDVL4G_njI.mp4 890.6 kB
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  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/05. Map Coloring Quiz-ThoMUUhVoqQ.mp4 857.6 kB
  • Part 03-Module 01-Lesson 03_Mimic Me!/img/mimic-hero.png 851.7 kB
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  • Part 01-Module 02-Lesson 02_Advanced Game Playing/19. 3-Player Games Quiz-8E1OpOrxFck.mp4 690.8 kB
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  • Part 01-Module 01-Lesson 04_Setting up with Anaconda/media/conda_default_install.mp4 609.6 kB
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  • Part 08-Module 02-Lesson 06_Optional Attention Mechanisms/img/screen-shot-2018-05-03-at-2.40.39-pm.png 479.9 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/threshold.png 479.5 kB
  • Part 01-Module 04-Lesson 01_Probability/15. Cancer 02 Solution-s-lK9-5hdE4.mp4 476.2 kB
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  • Part 01-Module 02-Lesson 02_Advanced Game Playing/26. Probabilistic Alpha-Beta Pruning-TxIePyar1Ic.mp4 446.2 kB
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  • Part 01-Module 01-Lesson 04_Setting up with Anaconda/img/conda-search.png 441.2 kB
  • Part 02-Module 01-Lesson 02_Review Anaconda Setup/img/conda-search.png 441.2 kB
  • Part 01-Module 04-Lesson 01_Probability/14. Cancer-CS-Pxxe1i5w.mp4 438.9 kB
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/35. Testing the Evaluation Function Part 3-1ns6OMenIvc.mp4 429.0 kB
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  • Part 09-Module 02-Lesson 03_Sentiment Analysis/05. Sentiment Analysis RNN GIF-GZWyEHOdZ0w.mp4 426.6 kB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. Images-1GdiN5Wc8LA.mp4 404.9 kB
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  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/img/hmmquiz.png 401.2 kB
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  • Part 01-Module 01-Lesson 04_Setting up with Anaconda/media/conda_install.mp4 206.6 kB
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  • Part 08-Module 01-Lesson 04_Feature Vectors/img/screen-shot-2018-04-23-at-5.52.20-pm.png 166.3 kB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.29.49-pm.png 164.6 kB
  • Part 08-Module 02-Lesson 03_RNN's/img/screen-shot-2017-11-21-at-3.49.24-pm.png 163.3 kB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-3.49.24-pm.png 163.3 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/precision-recall.png 160.5 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/sensitivity-specificity.png 158.9 kB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/20. Nodes for I-_jsb50xnRd8.mp4 157.4 kB
  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-topic-modeling.005.png 156.9 kB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.32.19-pm.png 156.2 kB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/img/sv-sentences.png 154.3 kB
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  • Part 08-Module 03-Lesson 02_Robot Localization/img/prob-dists.png 153.2 kB
  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-topic-modeling.006.png 153.0 kB
  • Part 02-Module 01-Lesson 03_Cloud Computing Setup Instructions/img/security-groups.png 152.4 kB
  • Part 09-Module 02-Lesson 07_Cloud Computing Setup Instructions/img/security-groups.png 152.4 kB
  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-language-model.006.png 152.0 kB
  • Part 08-Module 02-Lesson 08_Optional Cloud Computing with AWS/img/screen-shot-2018-05-08-at-3.20.31-pm.png 151.9 kB
  • Part 02-Module 01-Lesson 04_GPU Workspaces Demo/img/workspaces-submit.png 149.7 kB
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  • Part 09-Module 01-Lesson 03_Text Processing/img/workspaces-submit.png 149.7 kB
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  • Part 04-Module 02-Lesson 05_Machine Translation/img/workspaces-gpu.png 149.0 kB
  • Part 09-Module 01-Lesson 03_Text Processing/img/workspaces-gpu.png 149.0 kB
  • Part 08-Module 01-Lesson 01_Image Representation Classification/img/screen-shot-2018-04-06-at-2.39.31-pm.png 148.7 kB
  • Part 08-Module 02-Lesson 08_Optional Cloud Computing with AWS/img/screen-shot-2017-11-26-at-10.30.15-am.png 148.6 kB
  • Part 02-Module 01-Lesson 04_GPU Workspaces Demo/img/workspaces-notebook.png 146.3 kB
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  • Part 09-Module 01-Lesson 03_Text Processing/img/workspaces-notebook.png 146.3 kB
  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-machine-translation.008.png 146.0 kB
  • Part 09-Module 02-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.008.png 146.0 kB
  • Part 03-Module 02-Lesson 03_Features and Object Recognition/img/screen-shot-2017-06-27-at-12.15.01-am.png 145.4 kB
  • Part 08-Module 02-Lesson 03_RNN's/img/screen-shot-2018-05-07-at-4.20.50-pm.png 145.4 kB
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/img/how-many-paths-now.png 144.3 kB
  • Part 05-Module 01-Lesson 03_Alexa History Skill/img/alexa-interaction-model.png 143.9 kB
  • Part 09-Module 03-Lesson 02_(Optional) Alexa History Skill/img/alexa-interaction-model.png 143.9 kB
  • Part 08-Module 03-Lesson 02_Robot Localization/img/sense-move.png 143.9 kB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/img/cover-letter-body-good.png 143.4 kB
  • Part 02-Module 08-Lesson 04_Intro to Voice User Interfaces/img/alexa-lab-overview2.png 143.3 kB
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  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-topic-modeling.008.png 140.8 kB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/img/screen-shot-2017-06-26-at-3.11.58-pm.png 140.7 kB
  • Part 08-Module 01-Lesson 02_Convolutional Filters and Edge Detection/img/screen-shot-2017-06-26-at-3.11.58-pm.png 140.7 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/roc-curves.png 140.6 kB
  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-machine-translation.007.png 139.6 kB
  • Part 09-Module 02-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.007.png 139.6 kB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-5.00.26-pm.png 138.9 kB
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/img/spamham.png 138.3 kB
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  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/img/reduce-values.png 134.4 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/sample-confusion-matrix.png 133.7 kB
  • Part 02-Module 01-Lesson 03_Cloud Computing Setup Instructions/img/p2xlarge-limit-request.png 132.8 kB
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  • Part 08-Module 02-Lesson 03_RNN's/img/screen-shot-2017-12-02-at-11.03.45-pm.png 132.5 kB
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  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/img/ngrams-numbers.png 132.3 kB
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  • Part 01-Module 01-Lesson 05_Solving Sudoku with AI/img/naked-twins-2.png 130.8 kB
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  • Part 01-Module 01-Lesson 05_Solving Sudoku with AI/img/naked-twins.png 129.6 kB
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  • Part 01-Module 01-Lesson 05_Solving Sudoku with AI/img/diagonal-sudoku.png 128.1 kB
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  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-machine-translation.004.png 127.3 kB
  • Part 09-Module 02-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.004.png 127.3 kB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/img/switch.png 125.8 kB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-12.07.41-pm.png 125.7 kB
  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/img/bfs.png 124.3 kB
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  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/img/sudoku-easy.png 123.0 kB
  • Part 05-Module 01-Lesson 03_Alexa History Skill/img/alexa-lambda-function-code.png 122.6 kB
  • Part 09-Module 03-Lesson 02_(Optional) Alexa History Skill/img/alexa-lambda-function-code.png 122.6 kB
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  • Part 01-Module 04-Lesson 01_Probability/11. 17 - P3 Weather Solution-J42qxWrp5xE.mp4 120.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/img/mathematics2.png 119.9 kB
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  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.15.46-pm.png 116.2 kB
  • Part 04-Module 03-Lesson 01_Embeddings and Word2Vec/img/linear-relationships.png 115.0 kB
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  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.06.03-pm.png 112.6 kB
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  • Part 09-Module 01-Lesson 01_Welcome to Natural Language Processing/img/screen-shot-2018-08-13-at-5.51.37-pm.png 111.9 kB
  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-topic-modeling.002.png 111.1 kB
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  • Part 05-Module 01-Lesson 03_Alexa History Skill/img/manandecho1200x900.png 110.1 kB
  • Part 02-Module 01-Lesson 03_Cloud Computing Setup Instructions/img/amazonwebservices-logo.svg.png 109.7 kB
  • Part 09-Module 02-Lesson 07_Cloud Computing Setup Instructions/img/amazonwebservices-logo.svg.png 109.7 kB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/img/screen-shot-2018-05-31-at-4.06.11-pm.png 108.1 kB
  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-machine-translation.003.png 108.0 kB
  • Part 09-Module 02-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.003.png 108.0 kB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/img/screen-shot-2018-05-26-at-4.05.55-pm.png 107.1 kB
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  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-05-at-12.09.13-pm.png 105.1 kB
  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/img/screen-shot-2017-01-22-at-11.08.01-pm-1.png 105.0 kB
  • Part 04-Module 02-Lesson 04_Modeling/img/nlp-m1-l4-language-model.002.png 104.6 kB
  • Part 08-Module 03-Lesson 02_Robot Localization/img/screen-shot-2018-05-02-at-10.04.31-pm.png 103.7 kB
  • Part 01-Module 04-Lesson 01_Probability/14. Cancer Answer-cyiS7ISjJZo.mp4 102.3 kB
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  • Part 08-Module 01-Lesson 01_Image Representation Classification/img/screen-shot-2018-03-23-at-4.04.35-pm.png 101.4 kB
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/img/6601045374.gif 99.8 kB
  • Part 01-Module 01-Lesson 04_Setting up with Anaconda/media/conda_enter.mp4 99.6 kB
  • Part 02-Module 01-Lesson 02_Review Anaconda Setup/media/conda_enter.mp4 99.6 kB
  • Part 02-Module 08-Lesson 01_Concentration Previews/img/1-b31vlkkhyareci7k3zjema.png 97.8 kB
  • Part 08-Module 02-Lesson 03_RNN's/img/screen-shot-2017-11-27-at-1.46.43-pm.png 97.2 kB
  • Part 09-Module 04-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-1.46.43-pm.png 97.2 kB
  • Part 07-Module 01-Lesson 02_LinkedIn Review/media/unnamed-project-desc-0.gif 96.8 kB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-step4.png 96.5 kB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/img/xor-quiz.png 96.4 kB
  • Part 02-Module 01-Lesson 04_GPU Workspaces Demo/img/workspaces-menu.png 96.2 kB
  • Part 04-Module 02-Lesson 05_Machine Translation/img/workspaces-menu.png 96.2 kB
  • Part 09-Module 01-Lesson 03_Text Processing/img/workspaces-menu.png 96.2 kB
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  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/img/harder-puzzle.png 95.0 kB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/img/alpha-beta-search.png 93.7 kB
  • Part 08-Module 02-Lesson 01_Advanced CNN Architectures/img/screen-shot-2018-05-03-at-1.01.46-pm.png 92.9 kB
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  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-transpose-1.png 90.5 kB
  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/img/sum-of-components.png 90.4 kB
  • Part 09-Module 03-Lesson 03_Speech Recognition/img/sum-of-components.png 90.4 kB
  • Part 07-Module 01-Lesson 03_Udacity Professional Profile/img/162524.gif 90.1 kB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/img/regularization-quiz.png 90.0 kB
  • Part 08-Module 05-Lesson 02_Training Neural Networks/img/regularization-quiz.png 90.0 kB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/img/6864011480.gif 89.7 kB
  • Part 08-Module 09-Lesson 02_C++ Vectors/img/copy-of-template.png 88.6 kB
  • Part 08-Module 08-Lesson 02_3D CNN's/img/2.-end-to-end-learning.jpg 88.6 kB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/img/5826899844.gif 88.2 kB
  • Part 03-Module 02-Lesson 01_Image Representation and Analysis/img/screen-shot-2017-06-26-at-2.35.11-pm.png 88.1 kB
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  • Part 02-Module 04-Lesson 01_Intro to TensorFlow/img/tensorflow.png 87.3 kB
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  • Part 09-Module 01-Lesson 03_Text Processing/img/workspaces-new.png 87.3 kB
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  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-step2.png 86.5 kB
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/img/5313610837.gif 85.6 kB
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  • Part 09-Module 01-Lesson 03_Text Processing/img/workspaces-jupyter.png 85.5 kB
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/img/6601045370.gif 84.1 kB
  • Part 01-Module 01-Lesson 04_Setting up with Anaconda/img/conda-install.png 83.1 kB
  • Part 02-Module 01-Lesson 02_Review Anaconda Setup/img/conda-install.png 83.1 kB
  • Part 08-Module 01-Lesson 05_CNN Layers and Feature Visualization/img/screen-shot-2018-04-24-at-5.47.43-pm.png 83.1 kB
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  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/img/screen-shot-2017-01-22-at-3.36.45-pm.png 81.1 kB
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  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/img/matrix-multiplication-identity-1.png 80.9 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/roc.png 80.9 kB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/img/minimax-decision.png 79.5 kB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/img/5826899840.gif 79.4 kB
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  • Part 08-Module 04-Lesson 01_Applying Deep Learning Models/img/flappy-bird.jpg 78.1 kB
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  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/img/odometer.jpg 77.8 kB
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  • Part 01-Module 01-Lesson 04_Setting up with Anaconda/img/conda-create-env.png 72.5 kB
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  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/img/peers.png 60.3 kB
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  • Part 02-Module 08-Lesson 01_Concentration Previews/img/vuibasiclite.png 52.8 kB
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  • Part 08-Module 09-Lesson 01_C++ Getting Started/img/for.png 52.2 kB
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  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/img/menuopen.jpg 48.2 kB
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  • Part 09-Module 01-Lesson 03_Text Processing/img/workspaces-terminal.png 48.0 kB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/sample-roc-curve.png 47.4 kB
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/img/layer-1-grid.png 46.8 kB
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  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/06. Context-J-4pfu2w1C0.mp4 44.3 kB
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  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/img/cover-letter-intro-bad.png 43.3 kB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/img/transpose-1.png 43.0 kB
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  • Part 08-Module 02-Lesson 08_Optional Cloud Computing with AWS/img/aws-add-sec-group.png 42.7 kB
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  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/img/only-choice.png 38.4 kB
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  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/img/maxpool.jpeg 38.0 kB
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  • Part 01-Module 02-Lesson 02_Advanced Game Playing/18. 3-Player Games-NSvurEyGn9k.en.vtt 3.5 kB
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  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/09. Search-omveZu2gRLs.en.vtt 3.5 kB
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  • Part 07-Module 02-Lesson 01_GitHub Review/04. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt 3.5 kB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.pt-BR.vtt 3.4 kB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.zh-CN.vtt 2.6 kB
  • Part 01-Module 01-Lesson 02_Introduction to AI/01. Welcome to AI!-Y2cvz0YS8hI.zh-CN.vtt 2.6 kB
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  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt 1.5 kB
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/34. Testing Evaluation Functions-6x-zfTyo81I.en.vtt 1.5 kB
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/06. Building a Game Tree-92VDHI0s7DI.zh-CN.vtt 1.5 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt 1.5 kB
  • Part 08-Module 03-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.es-ES.vtt 1.5 kB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.en.vtt 1.5 kB
  • Part 08-Module 03-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.es.vtt 1.5 kB
  • Part 06-Module 03-Lesson 01_Craft Your Cover Letter/03. Cover Letter Components-DVvLiKedRw4.zh-CN.vtt 1.5 kB
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  • Part 01-Module 02-Lesson 04_Search/31. Optimistic Heuristic-Q5YJtZc37uc.zh-CN.vtt 1.5 kB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt 1.5 kB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/43. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.5 kB
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  • Part 01-Module 02-Lesson 05_Simulated Annealing/06. n-Queens Heuristic Function-hTVO07COpwg.en.vtt 1.5 kB
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  • Part 02-Module 07-Lesson 01_Generative Adversarial Networks/01. GANs Intro-F7XgI6TmaGI.zh-CN.vtt 1.5 kB
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  • Part 01-Module 03-Lesson 01_Logic and Reasoning/05. Truth Table Question Solution-RzxsZEUFtdI.en.vtt 1.5 kB
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  • Part 08-Module 03-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.zh-CN.vtt 1.5 kB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/13. MIN and MAX Levels-dRBNRN_3t20.en.vtt 1.5 kB
  • Part 04-Module 02-Lesson 01_Natural Language Processing/05. Modeling-P4w_2rkxBvE.pt-BR.vtt 1.5 kB
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ru.vtt 1.5 kB
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  • Part 02-Module 02-Lesson 01_Deep Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt 1.5 kB
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  • Part 08-Module 03-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.en.vtt 1.5 kB
  • Part 01-Module 01-Lesson 02_Introduction to AI/03. Game Playing-dtuvgyfH0WM.en.vtt 1.5 kB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/05. Euclidean Distance Not Sufficient-IdIiVJG4M0c.zh-CN.vtt 1.5 kB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt 1.5 kB
  • Part 08-Module 03-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.zh-CN.vtt 1.5 kB
  • Part 01-Module 02-Lesson 05_Simulated Annealing/12. Step Size Too Small-jiqO9_6Vdg4.en.vtt 1.5 kB
  • Part 01-Module 02-Lesson 04_Search/08. Graph Search -A8GjRaPJQ5E.en.vtt 1.5 kB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/30. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.5 kB
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  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/14. Iterative Algorithms-2PTww5EohuU.zh-CN.vtt 1.4 kB
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  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.zh-CN.vtt 1.4 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.zh-CN.vtt 1.4 kB
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  • Part 01-Module 04-Lesson 01_Probability/13. 21 - Weather 3 Solution-DSPRVaS23Oo.zh-CN.vtt 1.4 kB
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  • Part 04-Module 02-Lesson 02_Text Processing/09. Stop Word Removal-WAU_Ij0GJbw.zh-CN.vtt 1.4 kB
  • Part 04-Module 02-Lesson 03_Feature Extraction/04. One-Hot Encoding-a0j1CDXFYZI.en.vtt 1.4 kB
  • Part 09-Module 01-Lesson 03_Text Processing/10. Stop Word Removal-WAU_Ij0GJbw.zh-CN.vtt 1.4 kB
  • Part 09-Module 02-Lesson 01_Feature extraction and embeddings/04. One-Hot Encoding-a0j1CDXFYZI.en.vtt 1.4 kB
  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.en.vtt 1.4 kB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/38. Statistical Grammar-pi5sqYVO8SY.zh-CN.vtt 1.4 kB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt 1.4 kB
  • Part 07-Module 02-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt 1.4 kB
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.en.vtt 1.4 kB
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.zh-CN.vtt 1.4 kB
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/13. Summarizing recursivity-l1H8dfGW2A4.en.vtt 1.4 kB
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  • Part 08-Module 05-Lesson 01_Feedforward and Backpropagation/02. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.4 kB
  • Part 08-Module 03-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.zh-CN.vtt 1.4 kB
  • Part 01-Module 03-Lesson 02_Planning/10. Finding A Successful Plan Question Solution-1RxpNy3X82Q.en.vtt 1.4 kB
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/01. Welcome-R391sgqxzAA.en.vtt 1.4 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.en.vtt 1.4 kB
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/12. Sign Language Recognition-iUHcC93pU78.zh-CN.vtt 1.4 kB
  • Part 08-Module 09-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt 1.4 kB
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  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/06. Only Choice-sSjYn-Kex1A.en.vtt 1.4 kB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.pt-BR.vtt 1.4 kB
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  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/01. Welcome-R391sgqxzAA.zh-CN.vtt 1.3 kB
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  • Part 01-Module 02-Lesson 05_Simulated Annealing/12. Step Size Too Small-jiqO9_6Vdg4.zh-CN.vtt 1.3 kB
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  • Part 09-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.en.vtt 1.3 kB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.zh-CN.vtt 1.3 kB
  • Part 09-Module 01-Lesson 03_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt 1.3 kB
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  • Part 03-Module 02-Lesson 03_Features and Object Recognition/20. Congratulations!-MRm31x4VAoI.en.vtt 1.3 kB
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  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt 1.3 kB
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  • Part 08-Module 08-Lesson 01_Fully-Convolutional Neural Networks Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.zh-CN.vtt 1.3 kB
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  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/12. Deploying a Bluemix Application-YF2SgUXzk9k.en.vtt 1.2 kB
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  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.pt-BR.vtt 1.2 kB
  • Part 08-Module 03-Lesson 02_Robot Localization/29. 24 Limit Distribution Quiz V3-NJvalJwjz18.zh-CN.vtt 1.2 kB
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  • Part 09-Module 01-Lesson 02_Intro to NLP/01. Intro Arpan-MW5MWOLj064.zh-CN.vtt 1.2 kB
  • Part 04-Module 02-Lesson 03_Feature Extraction/04. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt 1.2 kB
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  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.zh-CN.vtt 1.2 kB
  • Part 09-Module 03-Lesson 03_Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.zh-CN.vtt 1.2 kB
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  • Part 01-Module 02-Lesson 02_Advanced Game Playing/08. Good Evaluation Functions-Hizo0Dr0NZ0.en.vtt 1.2 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.en.vtt 1.2 kB
  • Part 01-Module 04-Lesson 02_Bayes Nets/12. 49 - Explaining Away 3 Solution V3-zx2Y-bfEa-g.zh-CN.vtt 1.2 kB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/01. Introduction-qjjW4XOloyc.en.vtt 1.2 kB
  • Part 01-Module 01-Lesson 03_Applying AI to Sudoku/06. Only Choice-sSjYn-Kex1A.zh-CN.vtt 1.2 kB
  • Part 04-Module 02-Lesson 02_Text Processing/01. Text Processing-6LO6I5M18PQ.en.vtt 1.2 kB
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  • Part 05-Module 02-Lesson 01_Introduction to Speech Recognition/24. Outro-xMXF5PQxHnk.en.vtt 1.2 kB
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  • Part 02-Module 02-Lesson 01_Deep Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.2 kB
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  • Part 08-Module 03-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.en.vtt 1.2 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.pt-BR.vtt 1.2 kB
  • Part 01-Module 03-Lesson 01_Logic and Reasoning/07. Terminology-8EoV-wBqC9c.zh-CN.vtt 1.2 kB
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.zh-CN.vtt 1.2 kB
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/02. Course Introduction-pDJklud2grQ.en.vtt 1.2 kB
  • Part 01-Module 02-Lesson 04_Search/32. State Spaces-1MpklNG26TA.zh-CN.vtt 1.2 kB
  • Part 04-Module 02-Lesson 01_Natural Language Processing/01. Natural Language Processing-UQBxJzoCp-I.en.vtt 1.2 kB
  • Part 09-Module 01-Lesson 02_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.en.vtt 1.2 kB
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  • Part 03-Module 02-Lesson 02_Image Segmentation/01. Image Segmentation-Bi25woWxoYU.zh-CN.vtt 1.2 kB
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  • Part 01-Module 04-Lesson 02_Bayes Nets/04. 32 - Two Test Cancer V6-1N7JOX1LgVc.zh-CN.vtt 1.2 kB
  • Part 08-Module 09-Lesson 06_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.2 kB
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.2 kB
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  • Part 02-Module 02-Lesson 01_Deep Neural Networks/25. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt 1.2 kB
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/01. A Problem-UP3v66znF7I.zh-CN.vtt 1.2 kB
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  • Part 08-Module 03-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.en.vtt 1.2 kB
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.pt-BR.vtt 772 Bytes
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.pt-BR.vtt 730 Bytes
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/27. The Branching Factor (Contd.)-mPi1eUToCjk.en.vtt 690 Bytes
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt 690 Bytes
  • Part 04-Module 02-Lesson 04_Modeling/08. NLP Summary-B9ul8fsQYOA.en.vtt 688 Bytes
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  • Part 08-Module 07-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt 685 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/24. Max Moves-nExt1uHfhhc.en.vtt 683 Bytes
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  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.en.vtt 680 Bytes
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  • Part 09-Module 02-Lesson 02_Topic Modeling/15. Outro-y8vecBYUFPo.en.vtt 679 Bytes
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt 678 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/19. D Separation-zhTRI7NG-Y0.en.vtt 677 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/07. Conditional Independence2--jVanw4EL5A.en.vtt 675 Bytes
  • Part 06-Module 01-Lesson 01_Conduct a Job Search/04. Open Yourself Up to Opportunity-1OamTNkk1xM.zh-CN.vtt 675 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/19. Representing n-Queens-VBqBdzYLUkM.en.vtt 671 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/02. Introduction-T_yhf2HrPfQ.en.vtt 667 Bytes
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  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.zh-CN.vtt 660 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.en.vtt 659 Bytes
  • Part 01-Module 04-Lesson 01_Probability/16. Cancer 03 Solution-tMxVjJFFcbY.en.vtt 655 Bytes
  • Part 09-Module 07-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.zh-CN.vtt 655 Bytes
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  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.en.vtt 647 Bytes
  • Part 01-Module 02-Lesson 04_Search/12. Breath First Search 4-WOANyG8rf0k.zh-CN.vtt 646 Bytes
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  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt 643 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt-PT.vtt 641 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/02. Introduction-T_yhf2HrPfQ.zh-CN.vtt 639 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt.vtt 639 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt 634 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/07. Speeding Up Enumeration 4 Solution-PS5NGz-DLQo.zh-CN.vtt 633 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/26. Non-Linear Data-F7ZiE8PQiSc.en.vtt 633 Bytes
  • Part 02-Module 06-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 Bytes
  • Part 08-Module 02-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt 632 Bytes
  • Part 09-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 Bytes
  • Part 09-Module 01-Lesson 04_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt 631 Bytes
  • Part 01-Module 03-Lesson 02_Planning/05. Sensorless Vacuum CleanerProblemSolution-d74soy4rzY8.en-US.vtt 630 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/12. Alpha-Beta Pruning Quiz 1-vsTBPFAgxLY.zh-CN.vtt 625 Bytes
  • Part 09-Module 02-Lesson 02_Topic Modeling/15. Outro-y8vecBYUFPo.zh-CN.vtt 625 Bytes
  • Part 01-Module 02-Lesson 04_Search/12. Breath First Search 4-WOANyG8rf0k.en.vtt 624 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/26. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt 624 Bytes
  • Part 04-Module 02-Lesson 04_Modeling/08. NLP Summary-B9ul8fsQYOA.zh-CN.vtt 624 Bytes
  • Part 09-Module 02-Lesson 01_Feature extraction and embeddings/10. NLP Summary-B9ul8fsQYOA.zh-CN.vtt 624 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/08. Absolute And Conditional-FtymJ6N4JhY.zh-CN.vtt 623 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.ja.vtt 623 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.zh-CN.vtt 623 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/09. Backtracking Optimization Quiz-zgjIf9jNft0.zh-CN.vtt 622 Bytes
  • Part 02-Module 08-Lesson 03_Intro to Natural Language Processing/03. Grammar-Jw3dA7xmoQ4.zh-CN.vtt 617 Bytes
  • Part 04-Module 01-Lesson 02_Intro to Natural Language Processing/03. Grammar-Jw3dA7xmoQ4.zh-CN.vtt 617 Bytes
  • Part 09-Module 01-Lesson 02_Intro to NLP/04. Grammar-Jw3dA7xmoQ4.zh-CN.vtt 617 Bytes
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/09. Get Started-02a0kppl3EQ.en.vtt 615 Bytes
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/02. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt 615 Bytes
  • Part 01-Module 03-Lesson 02_Planning/05. Sensorless Vacuum CleanerProblemSolution-d74soy4rzY8.en.vtt 613 Bytes
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.zh-CN.vtt 609 Bytes
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.zh-CN.vtt 609 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.ar.vtt 608 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/04. 06 - Speeding Up Enumeration Solution V2-C-xIAwQiPM0.en.vtt 607 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.en.vtt 607 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/28. New Observation Sequence for We-jwAHyb8l9c4.en.vtt 606 Bytes
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/05. Section 2 Introduction-behe53793wo.en.vtt 606 Bytes
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  • Part 01-Module 02-Lesson 04_Search/28. A Search 3-POXZl2jVy_4.en.vtt 601 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/26. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt 600 Bytes
  • Part 02-Module 03-Lesson 01_Convolutional Neural Networks/02. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt 599 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/10. VariableElimination2 -AWPzJsQ7KoA.en.vtt 597 Bytes
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  • Part 01-Module 02-Lesson 05_Simulated Annealing/19. Representing n-Queens-VBqBdzYLUkM.zh-CN.vtt 595 Bytes
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/14. Section 3 Introduction-VyE6NcPbX9Q.en.vtt 594 Bytes
  • Part 08-Module 09-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt 593 Bytes
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/27. The Branching Factor (Contd.)-mPi1eUToCjk.zh-CN.vtt 587 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/50. Keras Lab-a50un22BsLI.en.vtt 586 Bytes
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  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/35. Testing the Evaluation Function Part 3-1ns6OMenIvc.en.vtt 585 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt 584 Bytes
  • Part 08-Module 09-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 Bytes
  • Part 01-Module 04-Lesson 01_Probability/06. 09 - Coin Flip 4 Solution--NgSZRj6KjY.en.vtt 580 Bytes
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.en.vtt 578 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.es-ES.vtt 575 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/50. Keras Lab-a50un22BsLI.pt-BR.vtt 574 Bytes
  • Part 09-Module 05-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.pt-BR.vtt 574 Bytes
  • Part 01-Module 02-Lesson 04_Search/28. A Search 3 Solution-Njd5k_I6Sqo.en.vtt 573 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.es.vtt 573 Bytes
  • Part 08-Module 09-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt 572 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/07. Conditional Independence2--jVanw4EL5A.zh-CN.vtt 571 Bytes
  • Part 01-Module 01-Lesson 01_Welcome to Artificial Intelligence/09. Get Started-02a0kppl3EQ.zh-CN.vtt 567 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/12. Constraint Propagation Quiz-rrG4junDoPY.en.vtt 563 Bytes
  • Part 01-Module 04-Lesson 01_Probability/15. Cancer 2-Y_YYMwGcq7M.en.vtt 559 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/15. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt 556 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/28. New Observation Sequence for We-jwAHyb8l9c4.zh-CN.vtt 552 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/14. Hill Climbing Quiz 2-gVHBvPKWPow.en.vtt 551 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.en.vtt 551 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt 551 Bytes
  • Part 01-Module 02-Lesson 04_Search/28. A Search 3-POXZl2jVy_4.zh-CN.vtt 550 Bytes
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.zh-CN.vtt 550 Bytes
  • Part 01-Module 04-Lesson 01_Probability/06. 08 - Coin Flip 4-xWZJrnucjHM.en.vtt 549 Bytes
  • Part 08-Module 03-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.en.vtt 549 Bytes
  • Part 01-Module 04-Lesson 01_Probability/16. Cancer 03 Solution-tMxVjJFFcbY.zh-CN.vtt 548 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt 548 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/11. Minimax Quiz-eRB93Dr5iM8.en.vtt 546 Bytes
  • Part 01-Module 02-Lesson 04_Search/28. A Search 3 Solution-Njd5k_I6Sqo.zh-CN.vtt 545 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt 545 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/14. Hill Climbing Quiz 2-uSF5H0Ew1ps.en.vtt 543 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 Bytes
  • Part 01-Module 04-Lesson 01_Probability/06. 09 - Coin Flip 4 Solution--NgSZRj6KjY.zh-CN.vtt 541 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/50. Keras Lab-a50un22BsLI.zh-CN.vtt 540 Bytes
  • Part 09-Module 05-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.zh-CN.vtt 540 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/08. Which of These Are Valid Moves-jJ6dS7itftM.en.vtt 538 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt 538 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt 538 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/35. Testing the Evaluation Function Part 3-1ns6OMenIvc.zh-CN.vtt 535 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/04. 06 - Speeding Up Enumeration Solution V2-C-xIAwQiPM0.zh-CN.vtt 535 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/28. New Observation Sequence for We-SV8xgQFmLdQ.en.vtt 535 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.zh-CN.vtt 533 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/10. VariableElimination2 -AWPzJsQ7KoA.zh-CN.vtt 530 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/19. 3-Player Games Quiz-8E1OpOrxFck.en.vtt 529 Bytes
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/05. Section 2 Introduction-behe53793wo.zh-CN.vtt 528 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt 526 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/16. I vs We Quiz-0dqyRY7GmoY.en.vtt 525 Bytes
  • Part 01-Module 04-Lesson 01_Probability/03. 03 - Probability Coin Flip 1b-mINSoCOFxPo.en.vtt 523 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/17. General Bayes Net 3-m-sPyxpsaFQ.en.vtt 523 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.bn.vtt 518 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.zh-CN.vtt 517 Bytes
  • Part 01-Module 04-Lesson 01_Probability/06. 08 - Coin Flip 4-xWZJrnucjHM.zh-CN.vtt 516 Bytes
  • Part 08-Module 09-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 515 Bytes
  • Part 08-Module 03-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.zh-CN.vtt 511 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/26. Number of Nodes in a Game Tree-3OLwxE9ejbY.en.vtt 510 Bytes
  • Part 02-Module 06-Lesson 01_Recurrent Neural Networks/14. Section 3 Introduction-VyE6NcPbX9Q.zh-CN.vtt 510 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt 510 Bytes
  • Part 01-Module 04-Lesson 01_Probability/13. 20 - Weather 3-CPKgIXA5TQo.zh-CN.vtt 508 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt 508 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt-PT.vtt 506 Bytes
  • Part 08-Module 03-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.zh-CN.vtt 505 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt 505 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/19. 3-Player Games Quiz-8E1OpOrxFck.zh-CN.vtt 504 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.en.vtt 503 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt.vtt 503 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/14. Hill Climbing Quiz 2-gVHBvPKWPow.zh-CN.vtt 501 Bytes
  • Part 01-Module 04-Lesson 01_Probability/07. 11 - Coin Flip 5 Solution-jrEWZZQv1dE.zh-CN.vtt 501 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/22. We Transitions Quiz-5TZkQuXiK14.en.vtt 501 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt 501 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.en.vtt 501 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.it.vtt 501 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.ja.vtt 500 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/09. Variable Elimination Solution-X87xouO8AWw.en.vtt 499 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.en.vtt 497 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/11. Minimax Quiz-eRB93Dr5iM8.zh-CN.vtt 496 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/24. GA Crossover Quiz-uBJeuRTMk-M.en.vtt 496 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.en.vtt 495 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/09. Backtracking Optimization Quiz-UdodpzaMIQ8.en.vtt 494 Bytes
  • Part 01-Module 04-Lesson 01_Probability/13. 20 - Weather 3-CPKgIXA5TQo.en-US.vtt 493 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/26. Number of Nodes in a Game Tree-3OLwxE9ejbY.zh-CN.vtt 491 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/18. 27 - Likelihood Weighting Solution V2-TNOvUTffF2o.en.vtt 488 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/02. Bayes Network Solution-XJGEZzHgAxk.en.vtt 487 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.zh-CN.vtt 487 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.zh-CN.vtt 487 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.pt-BR.vtt 482 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt 481 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/11. Hill Climbing Quiz-M4PQFz6jOxY.en.vtt 480 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/10. Variable Elimination2 Solution-PdDKlFtAIHg.en.vtt 480 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/46. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 Bytes
  • Part 08-Module 05-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.en.vtt 476 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/22. We Transitions Quiz-5TZkQuXiK14.zh-CN.vtt 475 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt 475 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/17. General Bayes Net 3-m-sPyxpsaFQ.zh-CN.vtt 474 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/12. Constraint Propagation Quiz-ThGgDbFTwh4.en.vtt 473 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/12. Variable Elimination4-yLaTiXHiQ8I.zh-CN.vtt 473 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/11. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt 473 Bytes
  • Part 01-Module 04-Lesson 01_Probability/11. 16 - P3 Weather-4knLEHXVh3I.en.vtt 472 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt 472 Bytes
  • Part 01-Module 04-Lesson 01_Probability/13. 20 - Weather 3-CPKgIXA5TQo.en.vtt 470 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/14. Hill Climbing Quiz 2-uSF5H0Ew1ps.zh-CN.vtt 469 Bytes
  • Part 01-Module 04-Lesson 01_Probability/15. Cancer 2-Y_YYMwGcq7M.zh-CN.vtt 469 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt 468 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/46. Random Restart-idyBBCzXiqg.en.vtt 466 Bytes
  • Part 08-Module 05-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt 466 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/12. Constraint Propagation Quiz-rrG4junDoPY.zh-CN.vtt 464 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/24. GA Crossover Quiz-uBJeuRTMk-M.zh-CN.vtt 462 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/24. Max Moves-nExt1uHfhhc.zh-CN.vtt 461 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/33. Testing the Evaluation Function Part 2-AzjVqG1LZo8.en.vtt 461 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt 460 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/08. Hill Climbing-IdmkCgRiYp4.en.vtt 457 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/16. General Bayes Net 2-BHU_9rGHKGo.en.vtt 457 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/11. Variable Elimination3-ESweiuu8eKI.en.vtt 457 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt 457 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt 456 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/09. Variable Elimination Solution-X87xouO8AWw.zh-CN.vtt 455 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/02. Bayes Network Solution-XJGEZzHgAxk.zh-CN.vtt 454 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt 453 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/32. Testing the Evaluation Function-FryRdCHb0y0.en.vtt 451 Bytes
  • Part 01-Module 04-Lesson 01_Probability/15. Cancer 02 Solution-s-lK9-5hdE4.en.vtt 451 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/28. New Observation Sequence for We-SV8xgQFmLdQ.zh-CN.vtt 451 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/05. Map Coloring Quiz-iuHuw1iP2j0.en.vtt 449 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/09. Backtracking Optimization Quiz-UdodpzaMIQ8.zh-CN.vtt 448 Bytes
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.en.vtt 448 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/17. General Bayes Net 3 Solution-j_2P_xAS_z0.zh-CN.vtt 446 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/08. Which of These Are Valid Moves-jJ6dS7itftM.zh-CN.vtt 443 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/18. Value Of A Network-kdqo5pCXSxg.en.vtt 440 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/16. I vs We Quiz-0dqyRY7GmoY.zh-CN.vtt 438 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/12. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/32. Testing the Evaluation Function-zBdMKbgJ4HU.en.vtt 433 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/17. General Bayes Net 3 Solution-j_2P_xAS_z0.en.vtt 431 Bytes
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.en.vtt 428 Bytes
  • Part 01-Module 04-Lesson 01_Probability/11. 16 - P3 Weather-4knLEHXVh3I.en-US.vtt 424 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.zh-CN.vtt 424 Bytes
  • Part 01-Module 04-Lesson 01_Probability/03. 03 - Probability Coin Flip 1b-mINSoCOFxPo.zh-CN.vtt 423 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/10. Variable Elimination2 Solution-PdDKlFtAIHg.zh-CN.vtt 423 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 Bytes
  • Part 08-Module 06-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.pt-BR.vtt 420 Bytes
  • Part 01-Module 04-Lesson 01_Probability/14. Cancer-CS-Pxxe1i5w.en.vtt 419 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/46. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 Bytes
  • Part 08-Module 05-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/16. General Bayes Net 2-BHU_9rGHKGo.zh-CN.vtt 416 Bytes
  • Part 01-Module 04-Lesson 01_Probability/04. 05 - Coin Flip 2 Solution-Dn-ROeHHl48.en.vtt 413 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/26. Probabilistic Alpha-Beta Pruning-TxIePyar1Ic.en.vtt 410 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/18. Value Of A Network-kdqo5pCXSxg.zh-CN.vtt 410 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/07. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 Bytes
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.en.vtt 410 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/11. Variable Elimination3-ESweiuu8eKI.zh-CN.vtt 408 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.es-ES.vtt 408 Bytes
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.zh-CN.vtt 408 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/05. Map Coloring Quiz-iuHuw1iP2j0.zh-CN.vtt 407 Bytes
  • Part 01-Module 04-Lesson 01_Probability/05. Coin Flip 3-Ufj-yruhsJA.en.vtt 407 Bytes
  • Part 09-Module 01-Lesson 05_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.zh-CN.vtt 407 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/12. Constraint Propagation Quiz-ThGgDbFTwh4.zh-CN.vtt 403 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/24. We Output Probabilities Quiz-M7VfDawJyfc.en.vtt 403 Bytes
  • Part 08-Module 09-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.zh-CN.vtt 402 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/11. Hill Climbing Quiz-M4PQFz6jOxY.zh-CN.vtt 401 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/16. General Bayes Net 2 Solution-3KBd9ppAywI.en.vtt 400 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt 397 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/18. Choosing the Best Branch-ftcZMraEokg.en.vtt 395 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/20. Nodes for I-qkZtbrQz0Uo.en.vtt 395 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/33. Testing the Evaluation Function Part 2-AzjVqG1LZo8.zh-CN.vtt 394 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/24. Max Moves-tl9CDh4Ooq8.en.vtt 392 Bytes
  • Part 01-Module 04-Lesson 01_Probability/11. 16 - P3 Weather-4knLEHXVh3I.zh-CN.vtt 392 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/15. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt 392 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/26. Probabilistic Alpha-Beta Pruning-TxIePyar1Ic.zh-CN.vtt 390 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/18. 27 - Likelihood Weighting Solution V2-TNOvUTffF2o.zh-CN.vtt 390 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt 390 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt-PT.vtt 387 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/27. New Observation Sequence for I-HZxhurrq3aY.en.vtt 386 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt.vtt 384 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/24. Max Moves-tl9CDh4Ooq8.zh-CN.vtt 383 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/08. Hill Climbing-IdmkCgRiYp4.zh-CN.vtt 382 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/15. General Bayes Net Solution-k8wHRrX5otE.en.vtt 381 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/32. Testing the Evaluation Function-FryRdCHb0y0.zh-CN.vtt 380 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.es-ES.vtt 378 Bytes
  • Part 01-Module 02-Lesson 04_Search/17. Uniform Cost Search 3-_LtVDVBskhk.zh-CN.vtt 375 Bytes
  • Part 08-Module 09-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.en.vtt 375 Bytes
  • Part 01-Module 04-Lesson 01_Probability/14. Cancer-CS-Pxxe1i5w.zh-CN.vtt 374 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/32. Testing the Evaluation Function-zBdMKbgJ4HU.zh-CN.vtt 372 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/05. Map Coloring Quiz-ThoMUUhVoqQ.en.vtt 372 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt 371 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/18. Choosing the Best Branch-ftcZMraEokg.zh-CN.vtt 369 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.zh-CN.vtt 367 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/16. General Bayes Net 2 Solution-3KBd9ppAywI.zh-CN.vtt 366 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/04. Exponential b=3-HvrVY9RtwDU.en.vtt 365 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.ja.vtt 365 Bytes
  • Part 02-Module 02-Lesson 01_Deep Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt 364 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es-ES.vtt 362 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.it.vtt 361 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/15. General Bayes Net Solution-k8wHRrX5otE.zh-CN.vtt 359 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es.vtt 359 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/12. Alpha-Beta Pruning Quiz 1-X0pMjJj7Lig.zh-CN.vtt 357 Bytes
  • Part 07-Module 02-Lesson 01_GitHub Review/05. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt 357 Bytes
  • Part 01-Module 02-Lesson 04_Search/17. Uniform Cost Search 3-_LtVDVBskhk.en.vtt 356 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/27. New Observation Sequence for I-9ZubcONbb6U.en.vtt 356 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.ja.vtt 356 Bytes
  • Part 01-Module 04-Lesson 01_Probability/04. 05 - Coin Flip 2 Solution-Dn-ROeHHl48.zh-CN.vtt 355 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/04. Exponential b=3-HvrVY9RtwDU.zh-CN.vtt 353 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.it.vtt 352 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/20. Nodes for I-qkZtbrQz0Uo.zh-CN.vtt 351 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.es-ES.vtt 351 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.pt-PT.vtt 351 Bytes
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.zh-CN.vtt 350 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/16. Computing MIN MAX Values-xVY-uOiCcRM.en.vtt 349 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.zh-CN.vtt 349 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/05. 5-Queens Quiz-5zZiO8sNdvw.en.vtt 348 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.en.vtt 348 Bytes
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  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.es-ES.vtt 348 Bytes
  • Part 01-Module 04-Lesson 01_Probability/05. Coin Flip 3-Ufj-yruhsJA.zh-CN.vtt 347 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.it.vtt 345 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.zh-CN.vtt 344 Bytes
  • Part 01-Module 04-Lesson 01_Probability/15. Cancer 02 Solution-s-lK9-5hdE4.zh-CN.vtt 343 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.pt-PT.vtt 341 Bytes
  • Part 08-Module 03-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.en.vtt 341 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.ja.vtt 340 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja.vtt 340 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/19. 28 - Likelihood Weighting 1 V2-6cYfKSB3kKQ.en.vtt 338 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.pt.vtt 338 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.en.vtt 337 Bytes
  • Part 01-Module 02-Lesson 02_Advanced Game Playing/12. Alpha-Beta Pruning Quiz 1-X0pMjJj7Lig.en.vtt 336 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/27. New Observation Sequence for I-HZxhurrq3aY.zh-CN.vtt 335 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/08. Which of These Are Valid Moves-gsSp5nBlTP8.en.vtt 334 Bytes
  • Part 01-Module 04-Lesson 01_Probability/05. 07 - Coin Flip 3 Solution-uw0zTpgfLMI.en.vtt 328 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/24. We Output Probabilities Quiz-M7VfDawJyfc.zh-CN.vtt 328 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/08. CausalDirection-Qp0uCJn45D4.en.vtt 327 Bytes
  • Part 01-Module 02-Lesson 06_Constraint Satisfaction/05. Map Coloring Quiz-ThoMUUhVoqQ.zh-CN.vtt 325 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/27. New Observation Sequence for I-9ZubcONbb6U.zh-CN.vtt 323 Bytes
  • Part 01-Module 02-Lesson 04_Search/10. Breath First Search 2-1VykygxreWg.en.vtt 321 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.it.vtt 320 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.ja.vtt 319 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/16. Computing MIN MAX Values-xVY-uOiCcRM.zh-CN.vtt 315 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.es-ES.vtt 314 Bytes
  • Part 01-Module 02-Lesson 04_Search/27. A Search 2-gYKBDz2kQJ8.en.vtt 313 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.en.vtt 313 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.es-ES.vtt 310 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.zh-CN.vtt 309 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.ja.vtt 304 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/19. 28 - Likelihood Weighting 1 V2-6cYfKSB3kKQ.zh-CN.vtt 301 Bytes
  • Part 01-Module 02-Lesson 05_Simulated Annealing/05. 5-Queens Quiz-5zZiO8sNdvw.zh-CN.vtt 300 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/25. We Viterbi Path-dnPBp_rCgXA.en.vtt 300 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/05. Speeding Up Enumeration 2-mXbZzXLtqMU.en.vtt 299 Bytes
  • Part 01-Module 02-Lesson 04_Search/26. A Search 1 Solution-pfSya9ScozE.en.vtt 297 Bytes
  • Part 01-Module 04-Lesson 01_Probability/05. 07 - Coin Flip 3 Solution-uw0zTpgfLMI.zh-CN.vtt 297 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.en.vtt 297 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/11. Variable Elimination3 Solution-Gr8Es-E5Gc0.en.vtt 295 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.it.vtt 295 Bytes
  • Part 08-Module 03-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.zh-CN.vtt 292 Bytes
  • Part 01-Module 02-Lesson 04_Search/10. Breath First Search 2-1VykygxreWg.zh-CN.vtt 291 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.en.vtt 290 Bytes
  • Part 01-Module 02-Lesson 04_Search/27. A Search 2-gYKBDz2kQJ8.zh-CN.vtt 287 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.pt-PT.vtt 287 Bytes
  • Part 08-Module 03-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.pt.vtt 284 Bytes
  • Part 01-Module 04-Lesson 02_Bayes Nets/05. 34 - Two Test Cancer 2 V4-Pyfg_1c7IvE.en.vtt 281 Bytes
  • Part 01-Module 02-Lesson 04_Search/26. A Search 1 Solution-pfSya9ScozE.zh-CN.vtt 274 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/02. 02 - Overview And Example Solution V2-MQqZozRhDng.en.vtt 269 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/13. Delta-y Quiz-LiDdrJjjjfc.en.vtt 268 Bytes
  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/05. Speeding Up Enumeration 2-mXbZzXLtqMU.zh-CN.vtt 267 Bytes
  • Part 01-Module 02-Lesson 01_Introduction to Game Playing/08. Which of These Are Valid Moves-gsSp5nBlTP8.zh-CN.vtt 266 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/25. We Viterbi Path-4gCvjIq-sqc.en.vtt 264 Bytes
  • Part 01-Module 04-Lesson 04_Hidden Markov Models/25. We Viterbi Path-dnPBp_rCgXA.zh-CN.vtt 264 Bytes
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  • Part 01-Module 04-Lesson 04_Hidden Markov Models/22. We Transitions Quiz-3S7m6PH5vxU.en.vtt 243 Bytes
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  • Part 01-Module 04-Lesson 04_Hidden Markov Models/16. I vs We Quiz-jpH8xqz2Baw.zh-CN.vtt 219 Bytes
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  • Part 01-Module 04-Lesson 03_Inference in Bayes Nets/07. Speeding Up Enumeration 4--aL9gH8GLwQ.zh-CN.vtt 195 Bytes
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  • Part 01-Module 04-Lesson 01_Probability/11. 17 - P3 Weather Solution-J42qxWrp5xE.en.vtt 178 Bytes
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  • Part 01-Module 04-Lesson 01_Probability/11. 17 - P3 Weather Solution-J42qxWrp5xE.zh-CN.vtt 124 Bytes
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  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes

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