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[CourseClub.NET].url |
123б |
[FCS Forum].url |
133б |
[FreeCourseSite.com].url |
127б |
1. The Whole Implementation.mp4 |
191.62Мб |
1. The Whole Implementation.vtt |
25.70Кб |
1. Updates on Udemy Reviews.mp4 |
46.04Мб |
1. Updates on Udemy Reviews.vtt |
3.05Кб |
1. Welcome to Step 10 - Deep NeuroEvolution.html |
1.22Кб |
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 |
17.23Кб |
10. Softmax & Cross-Entropy.mp4 |
117.97Мб |
10. Softmax & Cross-Entropy.vtt |
23.04Кб |
10. Stacked AutoEncoders.mp4 |
16.45Мб |
10. Stacked AutoEncoders.vtt |
14.39Мб |
11. Deep AutoEncoders.mp4 |
11.96Мб |
11. Deep AutoEncoders.vtt |
2.49Кб |
11. Full Code Section.html |
10.80Кб |
12. The Keras Implementation.html |
5.26Кб |
2.1 AI_Masterclass.zip.zip |
17.06Мб |
2. Deep NeuroEvolution.mp4 |
108.84Мб |
2. Deep NeuroEvolution.vtt |
13.84Кб |
2. Download the whole AI Masterclass folder here.html |
1.02Кб |
2. Initializing all the parameters and variables of the MDN-RNN class.mp4 |
99.50Мб |
2. Initializing all the parameters and variables of the MDN-RNN class.vtt |
16.44Кб |
2. Introduction + Course Structure + Demo.mp4 |
156.76Мб |
2. Introduction + Course Structure + Demo.vtt |
19.92Кб |
2. Introduction to Step 5.mp4 |
58.86Мб |
2. Introduction to Step 5.vtt |
9.81Кб |
2. Introduction to the MDN-RNN.mp4 |
83.39Мб |
2. Introduction to the MDN-RNN.vtt |
83.41Мб |
2. Introduction to the VAE.mp4 |
103.69Мб |
2. Introduction to the VAE.vtt |
10.00Кб |
2. Plan of Attack.mp4 |
11.87Мб |
2. Plan of Attack.mp4 |
15.82Мб |
2. Plan of Attack.mp4 |
11.85Мб |
2. Plan of Attack.mp4 |
10.50Мб |
2. Plan of Attack.vtt |
3.47Кб |
2. Plan of Attack.vtt |
4.80Кб |
2. Plan of Attack.vtt |
2.84Кб |
2. Plan of Attack.vtt |
3.06Кб |
2. What is Reinforcement Learning.mp4 |
68.60Мб |
2. What is Reinforcement Learning.vtt |
16.10Кб |
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 |
24.55Кб |
3. Building the RNN - Gathering the parameters.mp4 |
76.58Мб |
3. Building the RNN - Gathering the parameters.vtt |
55.30Мб |
3. Evolution Strategies.mp4 |
119.43Мб |
3. Evolution Strategies.vtt |
11.88Кб |
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 |
15.47Кб |
3. Installing the required packages.mp4 |
158.71Мб |
3. Installing the required packages.vtt |
15.06Кб |
3. Mixture Density Networks.mp4 |
65.36Мб |
3. Mixture Density Networks.vtt |
12.41Кб |
3. The Neuron.mp4 |
98.79Мб |
3. The Neuron.vtt |
21.98Кб |
3. Variational AutoEncoders.mp4 |
26.32Мб |
3. Variational AutoEncoders.vtt |
5.71Кб |
3. What are AutoEncoders.mp4 |
94.62Мб |
3. What are AutoEncoders.vtt |
14.56Кб |
3. What are Convolutional Neural Networks.mp4 |
107.98Мб |
3. What are Convolutional Neural Networks.vtt |
19.87Кб |
3. What are Recurrent Neural Networks.mp4 |
121.09Мб |
3. What are Recurrent Neural Networks.vtt |
21.38Кб |
3. Your Three Best Resources.mp4 |
143.26Мб |
3. Your Three Best Resources.vtt |
12.23Кб |
4. A Note on Biases.mp4 |
8.62Мб |
4. A Note on Biases.vtt |
1.92Кб |
4. Building the Encoder part of the VAE.mp4 |
133.65Мб |
4. Building the Encoder part of the VAE.vtt |
23.64Кб |
4. Building the RNN - Creating an LSTM cell with Dropout.mp4 |
127.16Мб |
4. Building the RNN - Creating an LSTM cell with Dropout.vtt |
19.77Кб |
4. Download the Resources here.html |
3.04Кб |
4. Full Code Section.html |
393б |
4. Genetic Algorithms.mp4 |
149.11Мб |
4. Genetic Algorithms.vtt |
15.43Кб |
4. Reparameterization Trick.mp4 |
26.41Мб |
4. Reparameterization Trick.vtt |
6.16Кб |
4. Step 1 - The Convolution Operation.mp4 |
97.94Мб |
4. Step 1 - The Convolution Operation.vtt |
21.45Кб |
4. The Activation Function.mp4 |
45.36Мб |
4. The Activation Function.vtt |
10.53Кб |
4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4 |
125.10Мб |
4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt |
14.03Кб |
4. The Vanishing Gradient Problem.mp4 |
111.17Мб |
4. The Vanishing Gradient Problem.vtt |
18.56Кб |
4. VAE + MDN-RNN Visualization.mp4 |
45.31Мб |
4. VAE + MDN-RNN Visualization.vtt |
6.91Кб |
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 |
17.92Кб |
5. Building the V part of the VAE.mp4 |
80.34Мб |
5. Building the V part of the VAE.vtt |
12.42Кб |
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 |
144.07Мб |
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt |
15.76Кб |
5. How do Neural Networks work.mp4 |
81.95Мб |
5. How do Neural Networks work.vtt |
17.31Кб |
5. LSTMs.mp4 |
136.52Мб |
5. LSTMs.vtt |
25.08Кб |
5. Meet your instructors!.html |
723б |
5. Step 1 Bis - The ReLU Layer.mp4 |
53.45Мб |
5. Step 1 Bis - The ReLU Layer.vtt |
8.45Кб |
5. Training an AutoEncoder.mp4 |
50.31Мб |
5. Training an AutoEncoder.vtt |
8.65Кб |
6. Building the Decoder part of the VAE.mp4 |
92.89Мб |
6. Building the Decoder part of the VAE.vtt |
11.89Кб |
6. Building the RNN - Getting the Deterministic Output of the RNN.mp4 |
125.49Мб |
6. Building the RNN - Getting the Deterministic Output of the RNN.vtt |
15.04Кб |
6. How do Neural Networks learn.mp4 |
112.12Мб |
6. How do Neural Networks learn.vtt |
17.02Кб |
6. LSTM Practical Intuition.mp4 |
187.41Мб |
6. LSTM Practical Intuition.vtt |
18.59Кб |
6. Overcomplete Hidden Layers.mp4 |
28.07Мб |
6. Overcomplete Hidden Layers.vtt |
4.98Кб |
6. Parameter-Exploring Policy Gradients (PEPG).mp4 |
143.91Мб |
6. Parameter-Exploring Policy Gradients (PEPG).vtt |
15.06Кб |
6. Step 2 - Pooling.mp4 |
140.18Мб |
6. Step 2 - Pooling.vtt |
19.09Кб |
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 |
15.02Кб |
7. Gradient Descent.mp4 |
60.63Мб |
7. Gradient Descent.vtt |
12.67Кб |
7. Implementing the Training operations.mp4 |
186.99Мб |
7. Implementing the Training operations.vtt |
21.19Кб |
7. LSTM Variations.mp4 |
20.12Мб |
7. LSTM Variations.vtt |
4.42Кб |
7. OpenAI Evolution Strategy.mp4 |
108.10Мб |
7. OpenAI Evolution Strategy.vtt |
9.74Кб |
7. Sparse AutoEncoders.mp4 |
57.46Мб |
7. Sparse AutoEncoders.vtt |
8.16Кб |
7. Step 3 - Flattening.mp4 |
7.95Мб |
7. Step 3 - Flattening.vtt |
2.33Кб |
8. Building the MDN - Getting the MDN parameters.mp4 |
109.45Мб |
8. Building the MDN - Getting the MDN parameters.vtt |
13.21Кб |
8. Denoising AutoEncoders.mp4 |
24.11Мб |
8. Denoising AutoEncoders.vtt |
3.19Кб |
8. Full Code Section.html |
3.96Кб |
8. Step 4 - Full Connection.mp4 |
194.27Мб |
8. Step 4 - Full Connection.vtt |
26.11Кб |
8. Stochastic Gradient Descent.mp4 |
67.30Мб |
8. Stochastic Gradient Descent.vtt |
11.24Кб |
9. Backpropagation.mp4 |
43.14Мб |
9. Backpropagation.vtt |
6.73Кб |
9. Contractive AutoEncoders.mp4 |
20.56Мб |
9. Contractive AutoEncoders.vtt |
3.29Кб |
9. Implementing the Training operations (Part 1).mp4 |
177.45Мб |
9. Implementing the Training operations (Part 1).vtt |
18.28Кб |
9. Summary.mp4 |
30.33Мб |
9. Summary.vtt |
5.68Кб |
9. The Keras Implementation.html |
7.70Кб |