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| [CourseClub.NET].url |
123б |
| [FCS Forum].url |
133б |
| [FreeCourseSite.com].url |
127б |
| 1.1 Autoencoder Slides.html |
161б |
| 1.1 CNN Slides.html |
161б |
| 1.1 Introduction to NN Slides.html |
161б |
| 1.1 Miscellaneous-Topics.zip.zip |
74.05Кб |
| 1.1 ML Overview Slides.html |
161б |
| 1.1 Reinforcement Learning Slides.html |
161б |
| 1.1 RNN Slides.html |
161б |
| 1.1 TF Basics Slides.html |
161б |
| 1.2 05-Autoencoders.zip.zip |
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| 1.2 06-Reinforcement-Learning-OpenAI.zip.zip |
10.58Кб |
| 1. Autoencoder Basics.mp4 |
13.91Мб |
| 1. Autoencoder Basics.vtt |
11.36Кб |
| 1. Bonus Lecture Discounts for for My Other Courses.html |
5.79Кб |
| 1. Crash Course Section Introduction.mp4 |
2.15Мб |
| 1. Crash Course Section Introduction.vtt |
1.72Кб |
| 1. Introduction.mp4 |
11.96Мб |
| 1. Introduction.vtt |
3.92Кб |
| 1. Introduction to Convolutional Neural Network Section.mp4 |
1.17Мб |
| 1. Introduction to Convolutional Neural Network Section.vtt |
1.11Кб |
| 1. Introduction to GANs.mp4 |
13.49Мб |
| 1. Introduction to GANs.vtt |
9.75Кб |
| 1. Introduction to Neural Networks.mp4 |
1.59Мб |
| 1. Introduction to Neural Networks.vtt |
1.32Кб |
| 1. Introduction to Reinforcement Learning with OpenAI Gym.mp4 |
7.98Мб |
| 1. Introduction to Reinforcement Learning with OpenAI Gym.vtt |
5.80Кб |
| 1. Introduction to RNN Section.mp4 |
1.57Мб |
| 1. Introduction to RNN Section.vtt |
1.55Кб |
| 1. Introduction to TensorFlow.mp4 |
1.97Мб |
| 1. Introduction to TensorFlow.vtt |
1.98Кб |
| 1. Intro to Miscellaneous Topics.html |
344б |
| 1. Machine Learning Overview.mp4 |
30.43Мб |
| 1. Machine Learning Overview.vtt |
23.50Кб |
| 1. Quick Note for MacOS and Linux Users.html |
2.05Кб |
| 10. CNN MNIST Code Along - Part One.mp4 |
26.21Мб |
| 10. CNN MNIST Code Along - Part One.vtt |
20.35Кб |
| 10. Manual Creation of Neural Network - Part Four - Session.mp4 |
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| 10. Manual Creation of Neural Network - Part Four - Session.vtt |
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| 10. Policy Gradient Code Along Part One.mp4 |
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| 10. Policy Gradient Code Along Part One.vtt |
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| 10. RNN with TensorFlow - Part Three.mp4 |
12.68Мб |
| 10. RNN with TensorFlow - Part Three.vtt |
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| 10. TensorFlow Classification Example - Part Two.mp4 |
31.95Мб |
| 10. TensorFlow Classification Example - Part Two.vtt |
14.79Кб |
| 11. CNN MNIST Code Along - Part Two.mp4 |
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| 11. CNN MNIST Code Along - Part Two.vtt |
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| 11. Manual Neural Network Classification Task.mp4 |
40.53Мб |
| 11. Manual Neural Network Classification Task.vtt |
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| 11. Policy Gradient Code Along Part Two.mp4 |
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| 11. Policy Gradient Code Along Part Two.vtt |
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| 11. TF Regression Exercise.mp4 |
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| 11. TF Regression Exercise.vtt |
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| 11. Time Series Exercise Overview.mp4 |
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| 11. Time Series Exercise Overview.vtt |
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| 12. Introduction to CNN Project.mp4 |
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| 12. Introduction to CNN Project.vtt |
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| 12. TF Regression Exercise Solution Walkthrough.mp4 |
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| 12. TF Regression Exercise Solution Walkthrough.vtt |
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| 12. Time Series Exercise Solution.mp4 |
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| 12. Time Series Exercise Solution.vtt |
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| 13. CNN Project Exercise Solution - Part One.mp4 |
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| 13. CNN Project Exercise Solution - Part One.vtt |
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| 13. Quick Note on Word2Vec.mp4 |
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| 13. Quick Note on Word2Vec.vtt |
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| 13. TF Classification Exercise.mp4 |
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| 13. TF Classification Exercise.vtt |
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| 14. CNN Project Exercise Solution - Part Two.mp4 |
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| 14. CNN Project Exercise Solution - Part Two.vtt |
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| 14. TF Classification Exercise Solution Walkthrough.mp4 |
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| 14. TF Classification Exercise Solution Walkthrough.vtt |
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| 14. Word2Vec Theory.mp4 |
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| 14. Word2Vec Theory.vtt |
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| 15.1 Link to notebook.html |
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| 15. Saving and Restoring Models.mp4 |
15.44Мб |
| 15. Saving and Restoring Models.vtt |
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| 15. Word2Vec Code Along - Part One.mp4 |
35.53Мб |
| 15. Word2Vec Code Along - Part One.vtt |
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| 16. Word2Vec Part Two.mp4 |
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| 16. Word2Vec Part Two.vtt |
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| 2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip |
299.66Мб |
| 2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4 |
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| 2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).vtt |
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| 2. Deep Nets with Tensorflow Abstractions API - Part One.mp4 |
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| 2. Deep Nets with Tensorflow Abstractions API - Part One.vtt |
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| 2. Dimensionality Reduction with Linear Autoencoder.mp4 |
37.58Мб |
| 2. Dimensionality Reduction with Linear Autoencoder.vtt |
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| 2. Extra Resources for Reinforcement Learning.html |
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| 2. GAN Code Along - Part One.mp4 |
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| 2. GAN Code Along - Part One.vtt |
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| 2. Installing TensorFlow Environment.mp4 |
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| 2. Installing TensorFlow Environment.vtt |
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| 2. Introduction to Perceptron.mp4 |
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| 2. Introduction to Perceptron.vtt |
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| 2. NumPy Crash Course.mp4 |
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| 2. NumPy Crash Course.vtt |
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| 2. Review of Neural Networks.mp4 |
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| 2. Review of Neural Networks.vtt |
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| 2. RNN Theory.mp4 |
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| 2. RNN Theory.vtt |
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| 2. TensorFlow Basic Syntax.mp4 |
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| 2. TensorFlow Basic Syntax.vtt |
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| 3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip |
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| 3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4 |
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| 3. Deep Nets with Tensorflow Abstractions API - Estimator API.vtt |
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| 3. FAQ - Frequently Asked Questions.html |
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| 3. GAN Code Along - Part Two.mp4 |
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| 3. GAN Code Along - Part Two.vtt |
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| 3. Introduction to OpenAI Gym.mp4 |
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| 3. Introduction to OpenAI Gym.vtt |
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| 3. Linear Autoencoder PCA Exercise Overview.mp4 |
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| 3. Linear Autoencoder PCA Exercise Overview.vtt |
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| 3. Manual Creation of RNN.mp4 |
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| 3. Manual Creation of RNN.vtt |
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| 3. Neural Network Activation Functions.mp4 |
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| 3. Neural Network Activation Functions.vtt |
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| 3. New Theory Topics.mp4 |
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| 3. New Theory Topics.vtt |
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| 3. Pandas Crash Course.mp4 |
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| 3. Pandas Crash Course.vtt |
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| 3. TensorFlow Graphs.mp4 |
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| 3. TensorFlow Graphs.vtt |
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| 4. Cost Functions.mp4 |
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| 4. Cost Functions.vtt |
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| 4. Data Visualization Crash Course.mp4 |
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| 4. Data Visualization Crash Course.vtt |
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| 4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 |
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| 4. Deep Nets with Tensorflow Abstractions API - Keras.vtt |
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| 4. GAN Code Along - Part Three.mp4 |
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| 4. GAN Code Along - Part Three.vtt |
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| 4. Linear Autoencoder PCA Exercise Solutions.mp4 |
22.88Мб |
| 4. Linear Autoencoder PCA Exercise Solutions.vtt |
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| 4. OpenAI Gym Steup.mp4 |
14.77Мб |
| 4. OpenAI Gym Steup.vtt |
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| 4. Quick note on MNIST lecture.html |
121б |
| 4. Vanishing Gradients.mp4 |
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| 4. Vanishing Gradients.vtt |
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| 4. Variables and Placeholders.mp4 |
12.85Мб |
| 4. Variables and Placeholders.vtt |
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| 5. Deep Nets with Tensorflow Abstractions API - Layers.mp4 |
28.73Мб |
| 5. Deep Nets with Tensorflow Abstractions API - Layers.vtt |
13.36Кб |
| 5. Gradient Descent Backpropagation.mp4 |
4.60Мб |
| 5. Gradient Descent Backpropagation.vtt |
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| 5. LSTM and GRU Theory.mp4 |
12.91Мб |
| 5. LSTM and GRU Theory.vtt |
12.72Кб |
| 5. MNIST Data Overview.mp4 |
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| 5. MNIST Data Overview.vtt |
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| 5. Open AI Gym Env Basics.mp4 |
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| 5. Open AI Gym Env Basics.vtt |
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| 5. SciKit Learn Preprocessing Overview.mp4 |
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| 5. SciKit Learn Preprocessing Overview.vtt |
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| 5. Stacked Autoencoder.mp4 |
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| 5. Stacked Autoencoder.vtt |
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| 5. TensorFlow - A Neural Network - Part One.mp4 |
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| 5. TensorFlow - A Neural Network - Part One.vtt |
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| 6. Crash Course Review Exercise.mp4 |
7.66Мб |
| 6. Crash Course Review Exercise.vtt |
3.18Кб |
| 6. Introduction to RNN with TensorFlow API.mp4 |
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| 6. Introduction to RNN with TensorFlow API.vtt |
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| 6. MNIST Basic Approach Part One.mp4 |
12.11Мб |
| 6. MNIST Basic Approach Part One.vtt |
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| 6. Open AI Gym Observations.mp4 |
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| 6. Open AI Gym Observations.vtt |
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| 6. Tensorboard.mp4 |
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| 6. Tensorboard.vtt |
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| 6. TensorFlow - A Neural Network - Part Two.mp4 |
32.51Мб |
| 6. TensorFlow - A Neural Network - Part Two.vtt |
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| 6. TensorFlow Playground.mp4 |
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| 6. TensorFlow Playground.vtt |
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| 7. Crash Course Review Exercise - Solutions.mp4 |
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| 7. Crash Course Review Exercise - Solutions.vtt |
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| 7. Manual Creation of Neural Network - Part One.mp4 |
12.55Мб |
| 7. Manual Creation of Neural Network - Part One.vtt |
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| 7. MNIST Basic Approach Part Two.mp4 |
34.94Мб |
| 7. MNIST Basic Approach Part Two.vtt |
20.78Кб |
| 7. OpenAI Gym Actions.mp4 |
14.80Мб |
| 7. OpenAI Gym Actions.vtt |
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| 7. RNN with TensorFlow - Part One.mp4 |
34.10Мб |
| 7. RNN with TensorFlow - Part One.vtt |
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| 7. TensorFlow Regression Example - Part One.mp4 |
30.06Мб |
| 7. TensorFlow Regression Example - Part One.vtt |
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| 8. CNN Theory Part One.mp4 |
26.58Мб |
| 8. CNN Theory Part One.vtt |
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| 8. Manual Creation of Neural Network - Part Two - Operations.mp4 |
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| 8. Manual Creation of Neural Network - Part Two - Operations.vtt |
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| 8. RNN with TensorFlow - Part Two.mp4 |
30.32Мб |
| 8. RNN with TensorFlow - Part Two.vtt |
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| 8. Simple Neural Network Game.mp4 |
35.83Мб |
| 8. Simple Neural Network Game.vtt |
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| 8. TensorFlow Regression Example _ Part Two.mp4 |
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| 8. TensorFlow Regression Example _ Part Two.vtt |
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| 9. CNN Theory Part Two.mp4 |
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| 9. CNN Theory Part Two.vtt |
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| 9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 |
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| 9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.vtt |
10.96Кб |
| 9. Policy Gradient Theory.mp4 |
13.70Мб |
| 9. Policy Gradient Theory.vtt |
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| 9. Quick Note on RNN Plotting Part 3.html |
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| 9. TensorFlow Classification Example - Part One.mp4 |
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| 9. TensorFlow Classification Example - Part One.vtt |
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