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