Udacity - Computer Vision Nanodegree nd891 v1.0.0

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Udacity - Computer Vision Nanodegree nd891 v1.0.0

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收录时间：2021-03-06
最近下载：2025-01-03

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文件列表

  • Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 84.3 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
  • Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4 40.0 MB
  • Part 02-Module 01-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 38.9 MB
  • Part 02-Module 01-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.9 MB
  • Part 02-Module 01-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 36.5 MB
  • Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 35.4 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MB
  • Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Part 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MB
  • Part 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Part 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 27.0 MB
  • Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MB
  • Part 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 25.4 MB
  • Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 25.4 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 24.9 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 24.9 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 23.7 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 23.4 MB
  • Part 02-Module 01-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 23.2 MB
  • Part 02-Module 01-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.6 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 22.2 MB
  • Part 02-Module 01-Lesson 03_RNN's/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 22.1 MB
  • Part 02-Module 01-Lesson 03_RNN's/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 21.9 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.7 MB
  • Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 20.8 MB
  • Part 02-Module 01-Lesson 03_RNN's/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 20.6 MB
  • Part 02-Module 01-Lesson 03_RNN's/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 19.0 MB
  • Part 02-Module 01-Lesson 03_RNN's/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 18.6 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp4 18.5 MB
  • Part 02-Module 01-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 18.1 MB
  • Part 02-Module 01-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 18.1 MB
  • Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 16.7 MB
  • Part 02-Module 01-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 15.5 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 15.4 MB
  • Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 15.3 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/06. AffdexMe Demo-dpFtXDqakvY.mp4 14.6 MB
  • Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 14.5 MB
  • Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 14.3 MB
  • Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 13.9 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.8 MB
  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.mp4 13.5 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4 13.5 MB
  • Part 02-Module 01-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 13.4 MB
  • Part 09-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 13.4 MB
  • Part 02-Module 01-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.mp4 12.7 MB
  • Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 12.6 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 12.6 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.mp4 12.4 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 12.2 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/14. Coding A Blue Screen-jeeDryFxodk.mp4 12.0 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.mp4 11.5 MB
  • Part 01-Module 01-Lesson 05_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.mp4 11.5 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 11.4 MB
  • Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.mp4 11.2 MB
  • Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 11.2 MB
  • Part 02-Module 01-Lesson 03_RNN's/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 11.0 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 11.0 MB
  • Part 02-Module 01-Lesson 03_RNN's/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.9 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.mp4 10.7 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/23. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.5 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/17. Color Spaces and Transforms-B350aJVSsFc.mp4 10.4 MB
  • Part 02-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.mp4 10.4 MB
  • Part 01-Module 01-Lesson 05_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4 10.2 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.mp4 10.2 MB
  • Part 02-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 10.1 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/10. Color Images--XbXiiGQ9gw.mp4 10.1 MB
  • Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/02. Corner Detectors-jemzDq07MEI.mp4 10.0 MB
  • Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 10.0 MB
  • Part 02-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4 9.9 MB
  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/self-driving-uber-prototype-in-san-francisco.jpg 9.7 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.7 MB
  • Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/embedding.gif 9.2 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.mp4 9.1 MB
  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.mp4 9.0 MB
  • Part 02-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.mp4 9.0 MB
  • Part 02-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4 8.8 MB
  • Part 01-Module 01-Lesson 05_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.mp4 8.8 MB
  • Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 8.7 MB
  • Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.mp4 8.6 MB
  • Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.mp4 8.6 MB
  • Part 02-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4 8.5 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.5 MB
  • Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.4 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/04. 09. Training a Model-m4GVfwVkj74.mp4 8.4 MB
  • Part 09-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 8.3 MB
  • Part 01-Module 01-Lesson 05_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.mp4 8.3 MB
  • Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 8.3 MB
  • Part 09-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 8.1 MB
  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.mp4 8.0 MB
  • Part 02-Module 01-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.mp4 7.9 MB
  • Part 05-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4 7.9 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/13. Color Thresholds-08ZlYZJaiUg.mp4 7.9 MB
  • Part 03-Module 01-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7.9 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.mp4 7.8 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.mp4 7.8 MB
  • Part 02-Module 01-Lesson 03_RNN's/24. RNN Summary-nXP0oGGRrO8.mp4 7.6 MB
  • Part 01-Module 01-Lesson 05_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.mp4 7.6 MB
  • Part 01-Module 01-Lesson 05_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4 7.3 MB
  • Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.mp4 7.3 MB
  • Part 03-Module 01-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 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.mp4 7.2 MB
  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.mp4 7.2 MB
  • Part 02-Module 01-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.mp4 7.1 MB
  • Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.mp4 7.0 MB
  • Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 7.0 MB
  • Part 07-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.mp4 7.0 MB
  • Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.mp4 6.9 MB
  • Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.9 MB
  • Part 02-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.mp4 6.9 MB
  • Part 02-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.mp4 6.9 MB
  • Part 01-Module 01-Lesson 02_Image Representation & Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.9 MB
  • Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.8 MB
  • Part 02-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4 6.8 MB
  • Part 05-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.7 MB
  • Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 6.6 MB
  • Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/10. K-means Implementation-poKlg-aB4rU.mp4 6.6 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.mp4 6.5 MB
  • Part 03-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4 6.4 MB
  • Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.4 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.4 MB
  • Part 02-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 6.4 MB
  • Part 03-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.4 MB
  • Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.mp4 6.3 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.3 MB
  • Part 02-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.mp4 6.3 MB
  • Part 02-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.mp4 6.3 MB
  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.mp4 6.3 MB
  • Part 02-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.mp4 6.2 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 6.1 MB
  • Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 6.1 MB
  • Part 02-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4 6.1 MB
  • Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.mp4 6.1 MB
  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.mp4 6.0 MB
  • Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 6.0 MB
  • Part 03-Module 01-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 02-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.mp4 5.9 MB
  • Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4 5.8 MB
  • Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.mp4 5.8 MB
  • Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.mp4 5.8 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.mp4 5.7 MB
  • Part 09-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.6 MB
  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4 5.6 MB
  • Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.6 MB
  • Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.mp4 5.5 MB
  • Part 03-Module 01-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.mp4 5.5 MB
  • Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.mp4 5.4 MB
  • Part 09-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.4 MB
  • Part 03-Module 01-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.mp4 5.4 MB
  • Part 03-Module 01-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.mp4 5.4 MB
  • Part 03-Module 01-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.mp4 5.3 MB
  • Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 5.3 MB
  • Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.3 MB
  • Part 03-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.mp4 5.3 MB
  • Part 05-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp4 5.1 MB
  • Part 02-Module 01-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.mp4 5.1 MB
  • Part 02-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp4 5.0 MB
  • Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.mp4 5.0 MB
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  • Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img/odometer.jpg 77.8 kB
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  • Part 09-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-1.png 61.1 kB
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  • Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img/sample-roc-curve.png 47.4 kB
  • Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/img/layer-1-grid.png 46.8 kB
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  • Part 09-Module 02-Lesson 01_C++ Intro to Optimization/img/untitled-drawing.jpg 41.2 kB
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  • Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.zh-CN.vtt 1.8 kB
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  • Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.zh-CN.vtt 1.8 kB
  • Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.en.vtt 1.8 kB
  • Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.en.vtt 1.8 kB
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