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[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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2021-03-11
最近下载:
2024-10-02
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文件列表
1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip
314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip
314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4
60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4
52.6 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt
47.1 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4
46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4
42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4
41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4
39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4
37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4
37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4
36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4
36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4
35.8 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4
35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4
35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4
34.4 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4
34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4
34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4
33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4
31.9 MB
8. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.mp4
31.8 MB
6. TensorFlow Basics/7. TensorFlow Regression Example - Part One.mp4
31.5 MB
12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.mp4
30.7 MB
9. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.mp4
30.1 MB
2. Installation and Setup/2. Installing TensorFlow and Environment Setup.mp4
29.2 MB
6. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.mp4
29.1 MB
12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.mp4
28.9 MB
5. Introduction to Neural Networks/6. TensorFlow Playground.mp4
28.5 MB
7. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.mp4
28.3 MB
7. Convolutional Neural Networks/8. CNN Theory Part One.mp4
27.9 MB
7. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.mp4
27.5 MB
11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.mp4
27.3 MB
5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.mp4
26.4 MB
6. TensorFlow Basics/9. TensorFlow Classification Example - Part One.mp4
24.9 MB
10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.mp4
24.0 MB
6. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.mp4
22.8 MB
4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.mp4
21.3 MB
7. Convolutional Neural Networks/3. New Theory Topics.mp4
20.7 MB
4. Crash Course Overview/4. Data Visualization Crash Course.mp4
20.5 MB
12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.mp4
20.4 MB
6. TensorFlow Basics/2. TensorFlow Basic Syntax.mp4
19.9 MB
9. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4
19.6 MB
4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.mp4
18.2 MB
8. Recurrent Neural Networks/3. Manual Creation of RNN.mp4
17.5 MB
8. Recurrent Neural Networks/14. Word2Vec Theory.mp4
17.4 MB
1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4
17.2 MB
9. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.mp4
17.0 MB
7. Convolutional Neural Networks/12. Introduction to CNN Project.mp4
16.8 MB
6. TensorFlow Basics/15. Saving and Restoring Models.mp4
16.2 MB
11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.mp4
16.1 MB
11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.mp4
15.5 MB
11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.mp4
15.5 MB
11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.mp4
14.6 MB
10. AutoEncoders/1. Autoencoder Basics.mp4
14.6 MB
11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.mp4
14.4 MB
8. Recurrent Neural Networks/11. Time Series Exercise Overview.mp4
14.3 MB
12. GAN - Generative Adversarial Networks/1. Introduction to GANs.mp4
14.1 MB
5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4
13.9 MB
8. Recurrent Neural Networks/5. LSTM and GRU Theory.mp4
13.5 MB
6. TensorFlow Basics/4. Variables and Placeholders.mp4
13.5 MB
8. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.mp4
13.3 MB
5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.mp4
13.1 MB
7. Convolutional Neural Networks/6. MNIST Basic Approach Part One.mp4
12.7 MB
1. Introduction/1. Introduction.mp4
12.5 MB
6. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.mp4
12.2 MB
5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.mp4
12.0 MB
8. Recurrent Neural Networks/2. RNN Theory.mp4
10.8 MB
11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.mp4
10.5 MB
7. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.mp4
10.1 MB
4. Crash Course Overview/3. Pandas Crash Course.mp4
9.5 MB
6. TensorFlow Basics/13. TF Classification Exercise.mp4
9.4 MB
5. Introduction to Neural Networks/3. Neural Network Activation Functions.mp4
9.0 MB
6. TensorFlow Basics/3. TensorFlow Graphs.mp4
9.0 MB
11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.mp4
8.4 MB
6. TensorFlow Basics/11. TF Regression Exercise.mp4
8.4 MB
10. AutoEncoders/1.1 05-Autoencoders.zip
8.3 MB
4. Crash Course Overview/6. Crash Course Review Exercise.mp4
8.0 MB
5. Introduction to Neural Networks/2. Introduction to Perceptron.mp4
7.1 MB
7. Convolutional Neural Networks/5. MNIST Data Overview.mp4
6.9 MB
7. Convolutional Neural Networks/9. CNN Theory Part Two.mp4
6.9 MB
8. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.mp4
6.6 MB
10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.mp4
6.5 MB
8. Recurrent Neural Networks/4. Vanishing Gradients.mp4
6.3 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.mp4
6.3 MB
5. Introduction to Neural Networks/4. Cost Functions.mp4
5.2 MB
5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.mp4
4.8 MB
7. Convolutional Neural Networks/2. Review of Neural Networks.mp4
3.6 MB
4. Crash Course Overview/1. Crash Course Section Introduction.mp4
2.3 MB
6. TensorFlow Basics/1. Introduction to TensorFlow.mp4
2.1 MB
5. Introduction to Neural Networks/1. Introduction to Neural Networks.mp4
1.7 MB
8. Recurrent Neural Networks/1. Introduction to RNN Section.mp4
1.6 MB
7. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.mp4
1.2 MB
9. Miscellaneous Topics/1.1 Miscellaneous-Topics.zip
75.8 kB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.srt
33.5 kB
6. TensorFlow Basics/7. TensorFlow Regression Example - Part One.srt
29.5 kB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.srt
29.5 kB
10. AutoEncoders/5. Stacked Autoencoder.srt
28.9 kB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.srt
28.2 kB
7. Convolutional Neural Networks/8. CNN Theory Part One.srt
27.9 kB
3. What is Machine Learning/1. Machine Learning Overview.srt
27.2 kB
8. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.srt
26.6 kB
9. Miscellaneous Topics/6. Tensorboard.srt
26.3 kB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.srt
25.7 kB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.srt
25.5 kB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.srt
25.1 kB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.srt
24.7 kB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.srt
24.4 kB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.srt
24.1 kB
7. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.srt
24.1 kB
4. Crash Course Overview/2. NumPy Crash Course.srt
23.9 kB
7. Convolutional Neural Networks/3. New Theory Topics.srt
23.0 kB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.srt
22.9 kB
6. TensorFlow Basics/2. TensorFlow Basic Syntax.srt
20.3 kB
6. TensorFlow Basics/9. TensorFlow Classification Example - Part One.srt
20.2 kB
2. Installation and Setup/2. Installing TensorFlow and Environment Setup.srt
20.1 kB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.srt
18.7 kB
8. Recurrent Neural Networks/14. Word2Vec Theory.srt
18.6 kB
6. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.srt
17.6 kB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.srt
17.3 kB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.srt
17.2 kB
8. Recurrent Neural Networks/16. Word2Vec Part Two.srt
17.2 kB
6. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.srt
17.2 kB
1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt
16.9 kB
11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.srt
16.9 kB
7. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.srt
16.9 kB
12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.srt
16.5 kB
12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.srt
16.5 kB
8. Recurrent Neural Networks/3. Manual Creation of RNN.srt
16.4 kB
5. Introduction to Neural Networks/6. TensorFlow Playground.srt
15.7 kB
9. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.srt
15.6 kB
8. Recurrent Neural Networks/5. LSTM and GRU Theory.srt
14.8 kB
4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.srt
14.0 kB
5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.srt
13.7 kB
11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.srt
13.7 kB
12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.srt
13.5 kB
10. AutoEncoders/1. Autoencoder Basics.srt
13.2 kB
7. Convolutional Neural Networks/6. MNIST Basic Approach Part One.srt
13.1 kB
11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.srt
13.1 kB
5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt
12.9 kB
8. Recurrent Neural Networks/2. RNN Theory.srt
12.3 kB
11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.srt
12.2 kB
11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.srt
12.1 kB
8. Recurrent Neural Networks/11. Time Series Exercise Overview.srt
12.0 kB
5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.srt
11.8 kB
4. Crash Course Overview/4. Data Visualization Crash Course.srt
11.7 kB
10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.srt
11.5 kB
6. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.srt
11.3 kB
12. GAN - Generative Adversarial Networks/1. Introduction to GANs.srt
11.2 kB
9. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.srt
11.1 kB
9. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.srt
11.1 kB
8. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.srt
10.9 kB
11. Reinforcement Learning with OpenAI Gym/1.1 06-Reinforcement-Learning-OpenAI.zip
10.8 kB
6. TensorFlow Basics/15. Saving and Restoring Models.srt
10.3 kB
7. Convolutional Neural Networks/12. Introduction to CNN Project.srt
10.2 kB
5. Introduction to Neural Networks/3. Neural Network Activation Functions.srt
9.7 kB
11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.srt
9.5 kB
4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.srt
9.3 kB
11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.srt
9.2 kB
6. TensorFlow Basics/4. Variables and Placeholders.srt
9.2 kB
5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.srt
8.9 kB
6. TensorFlow Basics/3. TensorFlow Graphs.srt
8.8 kB
5. Introduction to Neural Networks/2. Introduction to Perceptron.srt
8.0 kB
6. TensorFlow Basics/13. TF Classification Exercise.srt
7.8 kB
7. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.srt
7.8 kB
8. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.srt
7.2 kB
8. Recurrent Neural Networks/4. Vanishing Gradients.srt
6.9 kB
4. Crash Course Overview/3. Pandas Crash Course.srt
6.8 kB
11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.srt
6.7 kB
7. Convolutional Neural Networks/9. CNN Theory Part Two.srt
6.7 kB
7. Convolutional Neural Networks/5. MNIST Data Overview.srt
6.5 kB
6. TensorFlow Basics/11. TF Regression Exercise.srt
5.5 kB
5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.srt
5.4 kB
5. Introduction to Neural Networks/4. Cost Functions.srt
5.4 kB
1. Introduction/1. Introduction.srt
4.5 kB
7. Convolutional Neural Networks/2. Review of Neural Networks.srt
4.0 kB
4. Crash Course Overview/6. Crash Course Review Exercise.srt
3.7 kB
10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.srt
2.9 kB
6. TensorFlow Basics/1. Introduction to TensorFlow.srt
2.3 kB
2. Installation and Setup/1. Quick Note for MacOS and Linux Users.html
2.1 kB
4. Crash Course Overview/1. Crash Course Section Introduction.srt
2.0 kB
8. Recurrent Neural Networks/1. Introduction to RNN Section.srt
1.8 kB
5. Introduction to Neural Networks/1. Introduction to Neural Networks.srt
1.5 kB
7. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.srt
1.3 kB
11. Reinforcement Learning with OpenAI Gym/2. Extra Resources for Reinforcement Learning.html
1.3 kB
8. Recurrent Neural Networks/9. Quick Note on RNN Plotting Part 3.html
1.0 kB
13. BONUS/1. Bonus Lecture.html
532 Bytes
1. Introduction/3. FAQ - Frequently Asked Questions.html
413 Bytes
9. Miscellaneous Topics/1. Intro to Miscellaneous Topics.html
344 Bytes
10. AutoEncoders/1.2 Autoencoder Slides.html
161 Bytes
11. Reinforcement Learning with OpenAI Gym/1.2 Reinforcement Learning Slides.html
161 Bytes
3. What is Machine Learning/1.1 ML Overview Slides.html
161 Bytes
5. Introduction to Neural Networks/1.1 Introduction to NN Slides.html
161 Bytes
6. TensorFlow Basics/1.1 TF Basics Slides.html
161 Bytes
7. Convolutional Neural Networks/1.1 CNN Slides.html
161 Bytes
8. Recurrent Neural Networks/1.1 RNN Slides.html
161 Bytes
6. TensorFlow Basics/15.1 Link to notebook.html
145 Bytes
0. Websites you may like/[FCS Forum].url
133 Bytes
0. Websites you may like/[FreeCourseSite.com].url
127 Bytes
1. Introduction/2.2 GET THE UPDATED YML FILE HERE.html
127 Bytes
1. Introduction/3.2 GET THE UPDATED YML FILE HERE.html
127 Bytes
0. Websites you may like/[CourseClub.ME].url
122 Bytes
7. Convolutional Neural Networks/4. Quick note on MNIST lecture.html
121 Bytes
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