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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| 1. The Whole Implementation.mp4 |
191.62MB |
| 1. The Whole Implementation.vtt |
25.70KB |
| 1. Updates on Udemy Reviews.mp4 |
46.04MB |
| 1. Updates on Udemy Reviews.vtt |
3.05KB |
| 1. Welcome to Step 10 - Deep NeuroEvolution.html |
1.22KB |
| 1. Welcome to Step 1 - Artificial Neural Network.html |
605B |
| 1. Welcome to Step 2 - Convolutional Neural Network.html |
430B |
| 1. Welcome to Step 3 - AutoEncoder.html |
418B |
| 1. Welcome to Step 4 - Variational AutoEncoder.html |
423B |
| 1. Welcome to Step 5 - Implementing the CNN-VAE.html |
2.30KB |
| 1. Welcome to Step 6 - Recurrent Neural Network.html |
507B |
| 1. Welcome to Step 7 - Mixture Density Network.html |
517B |
| 1. Welcome to Step 8 - Implementing the MDN-RNN.html |
2.81KB |
| 1. Welcome to Step 9 - Reinforcement Learning.html |
424B |
| 10. Implementing the Training operations (Part 2).mp4 |
162.89MB |
| 10. Implementing the Training operations (Part 2).vtt |
17.23KB |
| 10. Softmax & Cross-Entropy.mp4 |
117.97MB |
| 10. Softmax & Cross-Entropy.vtt |
23.04KB |
| 10. Stacked AutoEncoders.mp4 |
16.45MB |
| 10. Stacked AutoEncoders.vtt |
14.39MB |
| 11. Deep AutoEncoders.mp4 |
11.96MB |
| 11. Deep AutoEncoders.vtt |
2.49KB |
| 11. Full Code Section.html |
10.80KB |
| 12. The Keras Implementation.html |
5.26KB |
| 2.1 AI_Masterclass.zip.zip |
17.06MB |
| 2. Deep NeuroEvolution.mp4 |
108.84MB |
| 2. Deep NeuroEvolution.vtt |
13.84KB |
| 2. Download the whole AI Masterclass folder here.html |
1.02KB |
| 2. Initializing all the parameters and variables of the MDN-RNN class.mp4 |
99.50MB |
| 2. Initializing all the parameters and variables of the MDN-RNN class.vtt |
16.44KB |
| 2. Introduction + Course Structure + Demo.mp4 |
156.76MB |
| 2. Introduction + Course Structure + Demo.vtt |
19.92KB |
| 2. Introduction to Step 5.mp4 |
58.86MB |
| 2. Introduction to Step 5.vtt |
9.81KB |
| 2. Introduction to the MDN-RNN.mp4 |
83.39MB |
| 2. Introduction to the MDN-RNN.vtt |
83.41MB |
| 2. Introduction to the VAE.mp4 |
103.69MB |
| 2. Introduction to the VAE.vtt |
10.00KB |
| 2. Plan of Attack.mp4 |
11.87MB |
| 2. Plan of Attack.mp4 |
15.82MB |
| 2. Plan of Attack.mp4 |
11.85MB |
| 2. Plan of Attack.mp4 |
10.50MB |
| 2. Plan of Attack.vtt |
3.47KB |
| 2. Plan of Attack.vtt |
4.80KB |
| 2. Plan of Attack.vtt |
2.84KB |
| 2. Plan of Attack.vtt |
3.06KB |
| 2. What is Reinforcement Learning.mp4 |
68.60MB |
| 2. What is Reinforcement Learning.vtt |
16.10KB |
| 3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 |
154.25MB |
| 3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt |
24.55KB |
| 3. Building the RNN - Gathering the parameters.mp4 |
76.58MB |
| 3. Building the RNN - Gathering the parameters.vtt |
55.30MB |
| 3. Evolution Strategies.mp4 |
119.43MB |
| 3. Evolution Strategies.vtt |
11.88KB |
| 3. Initializing all the parameters and variables of the CNN-VAE class.mp4 |
71.72MB |
| 3. Initializing all the parameters and variables of the CNN-VAE class.vtt |
15.47KB |
| 3. Installing the required packages.mp4 |
158.71MB |
| 3. Installing the required packages.vtt |
15.06KB |
| 3. Mixture Density Networks.mp4 |
65.36MB |
| 3. Mixture Density Networks.vtt |
12.41KB |
| 3. The Neuron.mp4 |
98.79MB |
| 3. The Neuron.vtt |
21.98KB |
| 3. Variational AutoEncoders.mp4 |
26.32MB |
| 3. Variational AutoEncoders.vtt |
5.71KB |
| 3. What are AutoEncoders.mp4 |
94.62MB |
| 3. What are AutoEncoders.vtt |
14.56KB |
| 3. What are Convolutional Neural Networks.mp4 |
107.98MB |
| 3. What are Convolutional Neural Networks.vtt |
19.87KB |
| 3. What are Recurrent Neural Networks.mp4 |
121.09MB |
| 3. What are Recurrent Neural Networks.vtt |
21.38KB |
| 3. Your Three Best Resources.mp4 |
143.26MB |
| 3. Your Three Best Resources.vtt |
12.23KB |
| 4. A Note on Biases.mp4 |
8.62MB |
| 4. A Note on Biases.vtt |
1.92KB |
| 4. Building the Encoder part of the VAE.mp4 |
133.65MB |
| 4. Building the Encoder part of the VAE.vtt |
23.64KB |
| 4. Building the RNN - Creating an LSTM cell with Dropout.mp4 |
127.16MB |
| 4. Building the RNN - Creating an LSTM cell with Dropout.vtt |
19.77KB |
| 4. Download the Resources here.html |
3.04KB |
| 4. Full Code Section.html |
393B |
| 4. Genetic Algorithms.mp4 |
149.11MB |
| 4. Genetic Algorithms.vtt |
15.43KB |
| 4. Reparameterization Trick.mp4 |
26.41MB |
| 4. Reparameterization Trick.vtt |
6.16KB |
| 4. Step 1 - The Convolution Operation.mp4 |
97.94MB |
| 4. Step 1 - The Convolution Operation.vtt |
21.45KB |
| 4. The Activation Function.mp4 |
45.36MB |
| 4. The Activation Function.vtt |
10.53KB |
| 4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4 |
125.10MB |
| 4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt |
14.03KB |
| 4. The Vanishing Gradient Problem.mp4 |
111.17MB |
| 4. The Vanishing Gradient Problem.vtt |
18.56KB |
| 4. VAE + MDN-RNN Visualization.mp4 |
45.31MB |
| 4. VAE + MDN-RNN Visualization.vtt |
6.91KB |
| 5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4 |
131.12MB |
| 5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt |
17.92KB |
| 5. Building the V part of the VAE.mp4 |
80.34MB |
| 5. Building the V part of the VAE.vtt |
12.42KB |
| 5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 |
144.07MB |
| 5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt |
15.76KB |
| 5. How do Neural Networks work.mp4 |
81.95MB |
| 5. How do Neural Networks work.vtt |
17.31KB |
| 5. LSTMs.mp4 |
136.52MB |
| 5. LSTMs.vtt |
25.08KB |
| 5. Meet your instructors!.html |
723B |
| 5. Step 1 Bis - The ReLU Layer.mp4 |
53.45MB |
| 5. Step 1 Bis - The ReLU Layer.vtt |
8.45KB |
| 5. Training an AutoEncoder.mp4 |
50.31MB |
| 5. Training an AutoEncoder.vtt |
8.65KB |
| 6. Building the Decoder part of the VAE.mp4 |
92.89MB |
| 6. Building the Decoder part of the VAE.vtt |
11.89KB |
| 6. Building the RNN - Getting the Deterministic Output of the RNN.mp4 |
125.49MB |
| 6. Building the RNN - Getting the Deterministic Output of the RNN.vtt |
15.04KB |
| 6. How do Neural Networks learn.mp4 |
112.12MB |
| 6. How do Neural Networks learn.vtt |
17.02KB |
| 6. LSTM Practical Intuition.mp4 |
187.41MB |
| 6. LSTM Practical Intuition.vtt |
18.59KB |
| 6. Overcomplete Hidden Layers.mp4 |
28.07MB |
| 6. Overcomplete Hidden Layers.vtt |
4.98KB |
| 6. Parameter-Exploring Policy Gradients (PEPG).mp4 |
143.91MB |
| 6. Parameter-Exploring Policy Gradients (PEPG).vtt |
15.06KB |
| 6. Step 2 - Pooling.mp4 |
140.18MB |
| 6. Step 2 - Pooling.vtt |
19.09KB |
| 7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4 |
146.97MB |
| 7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt |
15.02KB |
| 7. Gradient Descent.mp4 |
60.63MB |
| 7. Gradient Descent.vtt |
12.67KB |
| 7. Implementing the Training operations.mp4 |
186.99MB |
| 7. Implementing the Training operations.vtt |
21.19KB |
| 7. LSTM Variations.mp4 |
20.12MB |
| 7. LSTM Variations.vtt |
4.42KB |
| 7. OpenAI Evolution Strategy.mp4 |
108.10MB |
| 7. OpenAI Evolution Strategy.vtt |
9.74KB |
| 7. Sparse AutoEncoders.mp4 |
57.46MB |
| 7. Sparse AutoEncoders.vtt |
8.16KB |
| 7. Step 3 - Flattening.mp4 |
7.95MB |
| 7. Step 3 - Flattening.vtt |
2.33KB |
| 8. Building the MDN - Getting the MDN parameters.mp4 |
109.45MB |
| 8. Building the MDN - Getting the MDN parameters.vtt |
13.21KB |
| 8. Denoising AutoEncoders.mp4 |
24.11MB |
| 8. Denoising AutoEncoders.vtt |
3.19KB |
| 8. Full Code Section.html |
3.96KB |
| 8. Step 4 - Full Connection.mp4 |
194.27MB |
| 8. Step 4 - Full Connection.vtt |
26.11KB |
| 8. Stochastic Gradient Descent.mp4 |
67.30MB |
| 8. Stochastic Gradient Descent.vtt |
11.24KB |
| 9. Backpropagation.mp4 |
43.14MB |
| 9. Backpropagation.vtt |
6.73KB |
| 9. Contractive AutoEncoders.mp4 |
20.56MB |
| 9. Contractive AutoEncoders.vtt |
3.29KB |
| 9. Implementing the Training operations (Part 1).mp4 |
177.45MB |
| 9. Implementing the Training operations (Part 1).vtt |
18.28KB |
| 9. Summary.mp4 |
30.33MB |
| 9. Summary.vtt |
5.68KB |
| 9. The Keras Implementation.html |
7.70KB |
| READ_ME.txt |
407B |
| READ_ME.txt |
407B |
| READ_ME.txt |
407B |