|
|
1. Introduction + Course Structure + Demo.mp4
|
MP4
|
156.8 MB
|
|
|
1. Introduction + Course Structure + Demo.vtt
|
VTT
|
19.2 KB
|
|
|
1. Welcome to Step 1 - Artificial Neural Network.html
|
HTML
|
614.4 B
|
|
|
1. Welcome to Step 10 - Deep NeuroEvolution.html
|
HTML
|
1.1 KB
|
|
|
1. Welcome to Step 2 - Convolutional Neural Network.html
|
HTML
|
409.6 B
|
|
|
1. Welcome to Step 3 - AutoEncoder.html
|
HTML
|
409.6 B
|
|
|
1. Welcome to Step 4 - Variational AutoEncoder.html
|
HTML
|
409.6 B
|
|
|
1. Welcome to Step 5 - Implementing the CNN-VAE.html
|
HTML
|
2.3 KB
|
|
|
1. Welcome to Step 6 - Recurrent Neural Network.html
|
HTML
|
512 B
|
|
|
1. Welcome to Step 7 - Mixture Density Network.html
|
HTML
|
512 B
|
|
|
1. Welcome to Step 8 - Implementing the MDN-RNN.html
|
HTML
|
2.8 KB
|
|
|
1. Welcome to Step 9 - Reinforcement Learning.html
|
HTML
|
409.6 B
|
|
|
10. Implementing the Training operations (Part 2).mp4
|
MP4
|
162.9 MB
|
|
|
10. Implementing the Training operations (Part 2).vtt
|
VTT
|
16.4 KB
|
|
|
10. Softmax & Cross-Entropy.mp4
|
MP4
|
118 MB
|
|
|
10. Softmax & Cross-Entropy.vtt
|
VTT
|
22.1 KB
|
|
|
10. Stacked AutoEncoders.mp4
|
MP4
|
16.4 MB
|
|
|
10. Stacked AutoEncoders.vtt
|
VTT
|
2.1 KB
|
|
|
11. Deep AutoEncoders.mp4
|
MP4
|
12 MB
|
|
|
11. Deep AutoEncoders.vtt
|
VTT
|
2.4 KB
|
|
|
11. Full Code Section.html
|
HTML
|
10.8 KB
|
|
|
2. Initializing all the parameters and variables of the MDN-RNN class.mp4
|
MP4
|
99.5 MB
|
|
|
2. Initializing all the parameters and variables of the MDN-RNN class.vtt
|
VTT
|
15.8 KB
|
|
|
2. Introduction to Step 5.mp4
|
MP4
|
58.9 MB
|
|
|
2. Introduction to Step 5.vtt
|
VTT
|
9.4 KB
|
|
|
2. Introduction to the VAE.mp4
|
MP4
|
103.7 MB
|
|
|
2. Introduction to the VAE.vtt
|
VTT
|
9.7 KB
|
|
|
2. Plan of Attack.mp4
|
MP4
|
10.5 MB
|
|
|
2. Plan of Attack.vtt
|
VTT
|
3.1 KB
|
|
|
2. What is Reinforcement Learning.mp4
|
MP4
|
68.6 MB
|
|
|
2. What is Reinforcement Learning.vtt
|
VTT
|
16 KB
|
|
|
2. Your Three Best Resources.mp4
|
MP4
|
143.3 MB
|
|
|
2. Your Three Best Resources.vtt
|
VTT
|
11.8 KB
|
|
|
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4
|
MP4
|
154.3 MB
|
|
|
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt
|
VTT
|
23.5 KB
|
|
|
3. Building the RNN - Gathering the parameters.mp4
|
MP4
|
76.6 MB
|
|
|
3. Building the RNN - Gathering the parameters.vtt
|
VTT
|
11.3 KB
|
|
|
3. Download the Resources here.html
|
HTML
|
3 KB
|
|
|
3. Initializing all the parameters and variables of the CNN-VAE class.mp4
|
MP4
|
71.7 MB
|
|
|
3. Initializing all the parameters and variables of the CNN-VAE class.vtt
|
VTT
|
14.9 KB
|
|
|
3. The Neuron.mp4
|
MP4
|
98.8 MB
|
|
|
3. The Neuron.vtt
|
VTT
|
21.6 KB
|
|
|
3. Variational AutoEncoders.mp4
|
MP4
|
26.3 MB
|
|
|
3. Variational AutoEncoders.vtt
|
VTT
|
5.4 KB
|
|
|
3. What are AutoEncoders.mp4
|
MP4
|
94.6 MB
|
|
|
3. What are AutoEncoders.vtt
|
VTT
|
14.3 KB
|
|
|
3. What are Convolutional Neural Networks.mp4
|
MP4
|
108 MB
|
|
|
3. What are Convolutional Neural Networks.vtt
|
VTT
|
19.4 KB
|
|
|
3. What are Recurrent Neural Networks.mp4
|
MP4
|
121.1 MB
|
|
|
3. What are Recurrent Neural Networks.vtt
|
VTT
|
20.8 KB
|
|
|
4. A Note on Biases.mp4
|
MP4
|
8.6 MB
|
|
|
4. A Note on Biases.vtt
|
VTT
|
1.8 KB
|
|
|
4. Building the Encoder part of the VAE.mp4
|
MP4
|
133.7 MB
|
|
|
4. Building the Encoder part of the VAE.vtt
|
VTT
|
22.8 KB
|
|
|
4. Building the RNN - Creating an LSTM cell with Dropout.mp4
|
MP4
|
127.2 MB
|
|
|
4. Building the RNN - Creating an LSTM cell with Dropout.vtt
|
VTT
|
19.2 KB
|
|
|
4. Full Code Section.html
|
HTML
|
409.6 B
|
|
|
4. Meet your instructors!.html
|
HTML
|
716.8 B
|
|
|
4. Reparameterization Trick.mp4
|
MP4
|
26.4 MB
|
|
|
4. Reparameterization Trick.vtt
|
VTT
|
5.8 KB
|
|
|
4. Step 1 - The Convolution Operation.mp4
|
MP4
|
97.9 MB
|
|
|
4. Step 1 - The Convolution Operation.vtt
|
VTT
|
20.4 KB
|
|
|
4. The Activation Function.mp4
|
MP4
|
45.4 MB
|
|
|
4. The Activation Function.vtt
|
VTT
|
10.4 KB
|
|
|
4. The Vanishing Gradient Problem.mp4
|
MP4
|
111.2 MB
|
|
|
4. The Vanishing Gradient Problem.vtt
|
VTT
|
18.3 KB
|
|
|
5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4
|
MP4
|
131.1 MB
|
|
|
5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt
|
VTT
|
17.7 KB
|
|
|
5. Building the V part of the VAE.mp4
|
MP4
|
80.3 MB
|
|
|
5. Building the V part of the VAE.vtt
|
VTT
|
11.8 KB
|
|
|
5. How do Neural Networks work.mp4
|
MP4
|
81.9 MB
|
|
|
5. How do Neural Networks work.vtt
|
VTT
|
16.8 KB
|
|
|
5. LSTMs.mp4
|
MP4
|
136.5 MB
|
|
|
5. LSTMs.vtt
|
VTT
|
24.6 KB
|
|
|
5. Step 1 Bis - The ReLU Layer.mp4
|
MP4
|
53.4 MB
|
|
|
5. Step 1 Bis - The ReLU Layer.vtt
|
VTT
|
8.2 KB
|
|
|
5. Training an AutoEncoder.mp4
|
MP4
|
50.3 MB
|
|
|
5. Training an AutoEncoder.vtt
|
VTT
|
8.4 KB
|
|
|
6. Building the Decoder part of the VAE.mp4
|
MP4
|
92.9 MB
|
|
|
6. Building the Decoder part of the VAE.vtt
|
VTT
|
11.4 KB
|
|
|
6. Building the RNN - Getting the Deterministic Output of the RNN.mp4
|
MP4
|
125.5 MB
|
|
|
6. Building the RNN - Getting the Deterministic Output of the RNN.vtt
|
VTT
|
14.4 KB
|
|
|
6. How do Neural Networks learn.mp4
|
MP4
|
112.1 MB
|
|
|
6. How do Neural Networks learn.vtt
|
VTT
|
16.5 KB
|
|
|
6. LSTM Practical Intuition.mp4
|
MP4
|
187.4 MB
|
|
|
6. LSTM Practical Intuition.vtt
|
VTT
|
18.4 KB
|
|
|
6. Overcomplete Hidden Layers.mp4
|
MP4
|
28.1 MB
|
|
|
6. Overcomplete Hidden Layers.vtt
|
VTT
|
5 KB
|
|
|
6. Step 2 - Pooling.mp4
|
MP4
|
140.2 MB
|
|
|
6. Step 2 - Pooling.vtt
|
VTT
|
18.4 KB
|
|
|
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4
|
MP4
|
147 MB
|
|
|
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt
|
VTT
|
14.7 KB
|
|
|
7. Gradient Descent.mp4
|
MP4
|
60.6 MB
|
|
|
7. Gradient Descent.vtt
|
VTT
|
12.3 KB
|
|
|
7. Implementing the Training operations.mp4
|
MP4
|
187 MB
|
|
|
7. Implementing the Training operations.vtt
|
VTT
|
20.4 KB
|
|
|
7. LSTM Variations.mp4
|
MP4
|
20.1 MB
|
|
|
7. LSTM Variations.vtt
|
VTT
|
4.3 KB
|
|
|
7. Sparse AutoEncoders.mp4
|
MP4
|
57.5 MB
|
|
|
7. Sparse AutoEncoders.vtt
|
VTT
|
7.8 KB
|
|
|
7. Step 3 - Flattening.mp4
|
MP4
|
7.9 MB
|
|
|
7. Step 3 - Flattening.vtt
|
VTT
|
2.3 KB
|
|
|
8. Building the MDN - Getting the MDN parameters.mp4
|
MP4
|
109.5 MB
|
|
|
8. Building the MDN - Getting the MDN parameters.vtt
|
VTT
|
12.8 KB
|
|
|
8. Denoising AutoEncoders.mp4
|
MP4
|
24.1 MB
|
|
|
8. Denoising AutoEncoders.vtt
|
VTT
|
3.2 KB
|
|
|
8. Full Code Section.html
|
HTML
|
4 KB
|
|
|
8. Step 4 - Full Connection.mp4
|
MP4
|
194.3 MB
|
|
|
8. Step 4 - Full Connection.vtt
|
VTT
|
25 KB
|
|
|
8. Stochastic Gradient Descent.mp4
|
MP4
|
67.3 MB
|
|
|
8. Stochastic Gradient Descent.vtt
|
VTT
|
10.8 KB
|
|
|
9. Backpropagation.mp4
|
MP4
|
43.1 MB
|
|
|
9. Backpropagation.vtt
|
VTT
|
6.4 KB
|
|
|
9. Contractive AutoEncoders.mp4
|
MP4
|
20.6 MB
|
|
|
9. Contractive AutoEncoders.vtt
|
VTT
|
3.1 KB
|
|
|
9. Implementing the Training operations (Part 1).mp4
|
MP4
|
177.5 MB
|
|
|
9. Implementing the Training operations (Part 1).vtt
|
VTT
|
17.8 KB
|
|
|
9. Summary.mp4
|
MP4
|
30.3 MB
|
|
|
9. Summary.vtt
|
VTT
|
5.4 KB
|
|
|
[DesireCourse.Com].txt
|
TXT
|
716.8 B
|
|
|
[DesireCourse.Com].url
|
URL
|
0 B
|
