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| [DesireCourse.Com].txt |
754б |
| [DesireCourse.Com].url |
51б |
| 1. Introduction + Course Structure + Demo.mp4 |
156.75Мб |
| 1. Introduction + Course Structure + Demo.vtt |
19.18Кб |
| 1. Welcome to Step 10 - Deep NeuroEvolution.html |
1.12Кб |
| 1. Welcome to Step 1 - Artificial Neural Network.html |
605б |
| 1. Welcome to Step 2 - Convolutional Neural Network.html |
430б |
| 1. Welcome to Step 3 - AutoEncoder.html |
418б |
| 1. Welcome to Step 4 - Variational AutoEncoder.html |
423б |
| 1. Welcome to Step 5 - Implementing the CNN-VAE.html |
2.30Кб |
| 1. Welcome to Step 6 - Recurrent Neural Network.html |
507б |
| 1. Welcome to Step 7 - Mixture Density Network.html |
517б |
| 1. Welcome to Step 8 - Implementing the MDN-RNN.html |
2.81Кб |
| 1. Welcome to Step 9 - Reinforcement Learning.html |
424б |
| 10. Implementing the Training operations (Part 2).mp4 |
162.89Мб |
| 10. Implementing the Training operations (Part 2).vtt |
16.42Кб |
| 10. Softmax & Cross-Entropy.mp4 |
117.97Мб |
| 10. Softmax & Cross-Entropy.vtt |
22.15Кб |
| 10. Stacked AutoEncoders.mp4 |
16.44Мб |
| 10. Stacked AutoEncoders.vtt |
2.14Кб |
| 11. Deep AutoEncoders.mp4 |
11.97Мб |
| 11. Deep AutoEncoders.vtt |
2.39Кб |
| 11. Full Code Section.html |
10.80Кб |
| 2. Initializing all the parameters and variables of the MDN-RNN class.mp4 |
99.49Мб |
| 2. Initializing all the parameters and variables of the MDN-RNN class.vtt |
15.81Кб |
| 2. Introduction to Step 5.mp4 |
58.86Мб |
| 2. Introduction to Step 5.vtt |
9.42Кб |
| 2. Introduction to the VAE.mp4 |
103.68Мб |
| 2. Introduction to the VAE.vtt |
9.67Кб |
| 2. Plan of Attack.mp4 |
11.86Мб |
| 2. Plan of Attack.mp4 |
15.81Мб |
| 2. Plan of Attack.mp4 |
11.84Мб |
| 2. Plan of Attack.mp4 |
10.50Мб |
| 2. Plan of Attack.vtt |
3.50Кб |
| 2. Plan of Attack.vtt |
4.69Кб |
| 2. Plan of Attack.vtt |
2.87Кб |
| 2. Plan of Attack.vtt |
3.07Кб |
| 2. What is Reinforcement Learning.mp4 |
68.59Мб |
| 2. What is Reinforcement Learning.vtt |
15.98Кб |
| 2. Your Three Best Resources.mp4 |
143.27Мб |
| 2. Your Three Best Resources.vtt |
11.81Кб |
| 3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 |
154.25Мб |
| 3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt |
23.52Кб |
| 3. Building the RNN - Gathering the parameters.mp4 |
76.58Мб |
| 3. Building the RNN - Gathering the parameters.vtt |
11.33Кб |
| 3. Download the Resources here.html |
3.04Кб |
| 3. Initializing all the parameters and variables of the CNN-VAE class.mp4 |
71.72Мб |
| 3. Initializing all the parameters and variables of the CNN-VAE class.vtt |
14.87Кб |
| 3. The Neuron.mp4 |
98.79Мб |
| 3. The Neuron.vtt |
21.63Кб |
| 3. Variational AutoEncoders.mp4 |
26.31Мб |
| 3. Variational AutoEncoders.vtt |
5.43Кб |
| 3. What are AutoEncoders.mp4 |
94.61Мб |
| 3. What are AutoEncoders.vtt |
14.31Кб |
| 3. What are Convolutional Neural Networks.mp4 |
107.97Мб |
| 3. What are Convolutional Neural Networks.vtt |
19.42Кб |
| 3. What are Recurrent Neural Networks.mp4 |
121.10Мб |
| 3. What are Recurrent Neural Networks.vtt |
20.83Кб |
| 4. A Note on Biases.mp4 |
8.61Мб |
| 4. A Note on Biases.vtt |
1.80Кб |
| 4. Building the Encoder part of the VAE.mp4 |
133.65Мб |
| 4. Building the Encoder part of the VAE.vtt |
22.76Кб |
| 4. Building the RNN - Creating an LSTM cell with Dropout.mp4 |
127.16Мб |
| 4. Building the RNN - Creating an LSTM cell with Dropout.vtt |
19.19Кб |
| 4. Full Code Section.html |
393б |
| 4. Meet your instructors!.html |
723б |
| 4. Reparameterization Trick.mp4 |
26.40Мб |
| 4. Reparameterization Trick.vtt |
5.80Кб |
| 4. Step 1 - The Convolution Operation.mp4 |
97.93Мб |
| 4. Step 1 - The Convolution Operation.vtt |
20.42Кб |
| 4. The Activation Function.mp4 |
45.35Мб |
| 4. The Activation Function.vtt |
10.41Кб |
| 4. The Vanishing Gradient Problem.mp4 |
111.17Мб |
| 4. The Vanishing Gradient Problem.vtt |
18.26Кб |
| 5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4 |
131.12Мб |
| 5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt |
17.70Кб |
| 5. Building the V part of the VAE.mp4 |
80.33Мб |
| 5. Building the V part of the VAE.vtt |
11.79Кб |
| 5. How do Neural Networks work.mp4 |
81.94Мб |
| 5. How do Neural Networks work.vtt |
16.81Кб |
| 5. LSTMs.mp4 |
136.52Мб |
| 5. LSTMs.vtt |
24.65Кб |
| 5. Step 1 Bis - The ReLU Layer.mp4 |
53.45Мб |
| 5. Step 1 Bis - The ReLU Layer.vtt |
8.16Кб |
| 5. Training an AutoEncoder.mp4 |
50.30Мб |
| 5. Training an AutoEncoder.vtt |
8.37Кб |
| 6. Building the Decoder part of the VAE.mp4 |
92.89Мб |
| 6. Building the Decoder part of the VAE.vtt |
11.43Кб |
| 6. Building the RNN - Getting the Deterministic Output of the RNN.mp4 |
125.50Мб |
| 6. Building the RNN - Getting the Deterministic Output of the RNN.vtt |
14.37Кб |
| 6. How do Neural Networks learn.mp4 |
112.12Мб |
| 6. How do Neural Networks learn.vtt |
16.52Кб |
| 6. LSTM Practical Intuition.mp4 |
187.42Мб |
| 6. LSTM Practical Intuition.vtt |
18.36Кб |
| 6. Overcomplete Hidden Layers.mp4 |
28.06Мб |
| 6. Overcomplete Hidden Layers.vtt |
4.99Кб |
| 6. Step 2 - Pooling.mp4 |
140.17Мб |
| 6. Step 2 - Pooling.vtt |
18.39Кб |
| 7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4 |
146.97Мб |
| 7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt |
14.65Кб |
| 7. Gradient Descent.mp4 |
60.62Мб |
| 7. Gradient Descent.vtt |
12.35Кб |
| 7. Implementing the Training operations.mp4 |
186.98Мб |
| 7. Implementing the Training operations.vtt |
20.37Кб |
| 7. LSTM Variations.mp4 |
20.13Мб |
| 7. LSTM Variations.vtt |
4.28Кб |
| 7. Sparse AutoEncoders.mp4 |
57.45Мб |
| 7. Sparse AutoEncoders.vtt |
7.81Кб |
| 7. Step 3 - Flattening.mp4 |
7.95Мб |
| 7. Step 3 - Flattening.vtt |
2.29Кб |
| 8. Building the MDN - Getting the MDN parameters.mp4 |
109.45Мб |
| 8. Building the MDN - Getting the MDN parameters.vtt |
12.80Кб |
| 8. Denoising AutoEncoders.mp4 |
24.10Мб |
| 8. Denoising AutoEncoders.vtt |
3.22Кб |
| 8. Full Code Section.html |
3.96Кб |
| 8. Step 4 - Full Connection.mp4 |
194.27Мб |
| 8. Step 4 - Full Connection.vtt |
25.03Кб |
| 8. Stochastic Gradient Descent.mp4 |
67.30Мб |
| 8. Stochastic Gradient Descent.vtt |
10.77Кб |
| 9. Backpropagation.mp4 |
43.15Мб |
| 9. Backpropagation.vtt |
6.44Кб |
| 9. Contractive AutoEncoders.mp4 |
20.56Мб |
| 9. Contractive AutoEncoders.vtt |
3.14Кб |
| 9. Implementing the Training operations (Part 1).mp4 |
177.45Мб |
| 9. Implementing the Training operations (Part 1).vtt |
17.79Кб |
| 9. Summary.mp4 |
30.33Мб |
| 9. Summary.vtt |
5.37Кб |