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1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url |
328б |
1. The Whole Implementation.mp4 |
273.65Мб |
1. The Whole Implementation.srt |
28.35Кб |
1. The Whole Implementation.vtt |
24.90Кб |
1. Updates on Udemy Reviews.mp4 |
22.03Мб |
1. Updates on Udemy Reviews.srt |
3.48Кб |
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 |
1. YOUR SPECIAL BONUS.html |
1.10Кб |
10. Implementing the Training operations (Part 2).mp4 |
162.89Мб |
10. Implementing the Training operations (Part 2).srt |
18.90Кб |
10. Implementing the Training operations (Part 2).vtt |
16.42Кб |
10. Softmax & Cross-Entropy.mp4 |
117.97Мб |
10. Softmax & Cross-Entropy.srt |
25.29Кб |
10. Softmax & Cross-Entropy.vtt |
22.15Кб |
10. Stacked AutoEncoders.mp4 |
16.44Мб |
10. Stacked AutoEncoders.srt |
2.41Кб |
10. Stacked AutoEncoders.vtt |
2.14Кб |
11. Deep AutoEncoders.mp4 |
11.97Мб |
11. Deep AutoEncoders.srt |
2.72Кб |
11. Deep AutoEncoders.vtt |
2.39Кб |
11. Full Code Section.html |
10.80Кб |
12. The Keras Implementation.html |
5.26Кб |
2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286б |
2.1 AI Masterclass.zip.zip |
17.05Мб |
2. Deep NeuroEvolution.mp4 |
108.84Мб |
2. Deep NeuroEvolution.srt |
15.08Кб |
2. Deep NeuroEvolution.vtt |
13.35Кб |
2. Download the whole AI Masterclass folder here.html |
1.02Кб |
2. Initializing all the parameters and variables of the MDN-RNN class.mp4 |
99.49Мб |
2. Initializing all the parameters and variables of the MDN-RNN class.srt |
17.99Кб |
2. Initializing all the parameters and variables of the MDN-RNN class.vtt |
15.81Кб |
2. Introduction + Course Structure + Demo.mp4 |
195.34Мб |
2. Introduction + Course Structure + Demo.srt |
21.94Кб |
2. Introduction + Course Structure + Demo.vtt |
19.18Кб |
2. Introduction to Step 5.mp4 |
58.85Мб |
2. Introduction to Step 5.srt |
10.75Кб |
2. Introduction to Step 5.vtt |
9.42Кб |
2. Introduction to the MDN-RNN.mp4 |
83.39Мб |
2. Introduction to the MDN-RNN.srt |
12.69Кб |
2. Introduction to the MDN-RNN.vtt |
11.19Кб |
2. Introduction to the VAE.mp4 |
72.81Мб |
2. Introduction to the VAE.srt |
11.00Кб |
2. Introduction to the VAE.vtt |
9.67Кб |
2. Plan of Attack.mp4 |
15.85Мб |
2. Plan of Attack.mp4 |
21.81Мб |
2. Plan of Attack.mp4 |
15.85Мб |
2. Plan of Attack.mp4 |
10.50Мб |
2. Plan of Attack.srt |
3.94Кб |
2. Plan of Attack.srt |
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2. Plan of Attack.srt |
3.22Кб |
2. Plan of Attack.srt |
3.43Кб |
2. Plan of Attack.vtt |
3.50Кб |
2. Plan of Attack.vtt |
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2. Plan of Attack.vtt |
2.87Кб |
2. Plan of Attack.vtt |
3.07Кб |
2. What is Reinforcement Learning.mp4 |
68.60Мб |
2. What is Reinforcement Learning.srt |
18.12Кб |
2. What is Reinforcement Learning.vtt |
15.98Кб |
3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url |
163б |
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.srt |
26.98Кб |
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt |
23.52Кб |
3. BONUS Learning Paths.html |
2.37Кб |
3. Building the RNN - Gathering the parameters.mp4 |
76.58Мб |
3. Building the RNN - Gathering the parameters.srt |
12.89Кб |
3. Building the RNN - Gathering the parameters.vtt |
11.33Кб |
3. Evolution Strategies.mp4 |
119.44Мб |
3. Evolution Strategies.srt |
12.97Кб |
3. Evolution Strategies.vtt |
11.38Кб |
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.srt |
16.95Кб |
3. Initializing all the parameters and variables of the CNN-VAE class.vtt |
14.87Кб |
3. Installing the required packages.mp4 |
158.71Мб |
3. Installing the required packages.srt |
17.53Кб |
3. Installing the required packages.vtt |
14.97Кб |
3. Mixture Density Networks.mp4 |
65.35Мб |
3. Mixture Density Networks.srt |
13.54Кб |
3. Mixture Density Networks.vtt |
11.95Кб |
3. The Neuron.mp4 |
98.79Мб |
3. The Neuron.srt |
24.65Кб |
3. The Neuron.vtt |
21.63Кб |
3. Variational AutoEncoders.mp4 |
26.31Мб |
3. Variational AutoEncoders.srt |
6.14Кб |
3. Variational AutoEncoders.vtt |
5.43Кб |
3. What are AutoEncoders.mp4 |
94.61Мб |
3. What are AutoEncoders.srt |
16.30Кб |
3. What are AutoEncoders.vtt |
14.31Кб |
3. What are Convolutional Neural Networks.mp4 |
107.97Мб |
3. What are Convolutional Neural Networks.srt |
22.18Кб |
3. What are Convolutional Neural Networks.vtt |
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3. What are Recurrent Neural Networks.mp4 |
121.09Мб |
3. What are Recurrent Neural Networks.srt |
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3. What are Recurrent Neural Networks.vtt |
20.83Кб |
4. (FTUApps.com) Download Cracked Developers Applications For Free.url |
239б |
4. A Note on Biases.mp4 |
8.61Мб |
4. A Note on Biases.srt |
2.09Кб |
4. A Note on Biases.vtt |
1.80Кб |
4. Building the Encoder part of the VAE.mp4 |
133.64Мб |
4. Building the Encoder part of the VAE.srt |
26.15Кб |
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.srt |
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4. Building the RNN - Creating an LSTM cell with Dropout.vtt |
19.19Кб |
4. Full Code Section.html |
393б |
4. Genetic Algorithms.mp4 |
149.11Мб |
4. Genetic Algorithms.srt |
17.66Кб |
4. Genetic Algorithms.vtt |
15.47Кб |
4. Reparameterization Trick.mp4 |
26.41Мб |
4. Reparameterization Trick.srt |
6.58Кб |
4. Reparameterization Trick.vtt |
5.80Кб |
4. Step 1 - The Convolution Operation.mp4 |
97.93Мб |
4. Step 1 - The Convolution Operation.srt |
23.26Кб |
4. Step 1 - The Convolution Operation.vtt |
20.42Кб |
4. The Activation Function.mp4 |
45.36Мб |
4. The Activation Function.srt |
11.80Кб |
4. The Activation Function.vtt |
10.41Кб |
4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4 |
125.09Мб |
4. The Final Race Human Intelligence vs. Artificial Intelligence.srt |
15.83Кб |
4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt |
13.48Кб |
4. The Vanishing Gradient Problem.mp4 |
111.17Мб |
4. The Vanishing Gradient Problem.srt |
20.79Кб |
4. The Vanishing Gradient Problem.vtt |
18.26Кб |
4. VAE + MDN-RNN Visualization.mp4 |
45.30Мб |
4. VAE + MDN-RNN Visualization.srt |
7.55Кб |
4. VAE + MDN-RNN Visualization.vtt |
6.65Кб |
4. Your Three Best Resources.mp4 |
134.49Мб |
4. Your Three Best Resources.srt |
13.32Кб |
4. Your Three Best Resources.vtt |
11.81Кб |
5. (Discuss.FTUForum.com) FTU Discussion Forum.url |
294б |
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.srt |
20.02Кб |
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.srt |
13.46Кб |
5. Building the V part of the VAE.vtt |
11.79Кб |
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 |
144.06Мб |
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).srt |
17.19Кб |
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt |
15.17Кб |
5. Download the Resources here.html |
790б |
5. How do Neural Networks work.mp4 |
81.94Мб |
5. How do Neural Networks work.srt |
19.05Кб |
5. How do Neural Networks work.vtt |
16.81Кб |
5. LSTMs.mp4 |
136.52Мб |
5. LSTMs.srt |
28.24Кб |
5. LSTMs.vtt |
24.65Кб |
5. Step 1 Bis - The ReLU Layer.mp4 |
53.44Мб |
5. Step 1 Bis - The ReLU Layer.srt |
9.31Кб |
5. Step 1 Bis - The ReLU Layer.vtt |
8.16Кб |
5. THANK YOU bonus video.mp4 |
29.21Мб |
5. THANK YOU bonus video.srt |
2.32Кб |
5. THANK YOU bonus video.vtt |
2.04Кб |
5. Training an AutoEncoder.mp4 |
50.30Мб |
5. Training an AutoEncoder.srt |
9.54Кб |
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.srt |
13.04Кб |
6. Building the Decoder part of the VAE.vtt |
11.43Кб |
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.srt |
16.37Кб |
6. Building the RNN - Getting the Deterministic Output of the RNN.vtt |
14.37Кб |
6. How do Neural Networks learn.mp4 |
112.11Мб |
6. How do Neural Networks learn.srt |
18.96Кб |
6. How do Neural Networks learn.vtt |
16.52Кб |
6. LSTM Practical Intuition.mp4 |
187.41Мб |
6. LSTM Practical Intuition.srt |
20.98Кб |
6. LSTM Practical Intuition.vtt |
18.36Кб |
6. Meet your instructors!.html |
723б |
6. Overcomplete Hidden Layers.mp4 |
28.06Мб |
6. Overcomplete Hidden Layers.srt |
5.66Кб |
6. Overcomplete Hidden Layers.vtt |
4.99Кб |
6. Parameter-Exploring Policy Gradients (PEPG).mp4 |
143.90Мб |
6. Parameter-Exploring Policy Gradients (PEPG).srt |
16.39Кб |
6. Parameter-Exploring Policy Gradients (PEPG).vtt |
14.53Кб |
6. Step 2 - Pooling.mp4 |
140.17Мб |
6. Step 2 - Pooling.srt |
21.00Кб |
6. Step 2 - Pooling.vtt |
18.39Кб |
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4 |
146.98Мб |
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.srt |
16.55Кб |
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.srt |
14.17Кб |
7. Gradient Descent.vtt |
12.35Кб |
7. Implementing the Training operations.mp4 |
186.98Мб |
7. Implementing the Training operations.srt |
23.44Кб |
7. Implementing the Training operations.vtt |
20.37Кб |
7. LSTM Variations.mp4 |
20.12Мб |
7. LSTM Variations.srt |
4.87Кб |
7. LSTM Variations.vtt |
4.28Кб |
7. OpenAI Evolution Strategy.mp4 |
108.09Мб |
7. OpenAI Evolution Strategy.srt |
10.36Кб |
7. OpenAI Evolution Strategy.vtt |
9.16Кб |
7. Sparse AutoEncoders.mp4 |
57.45Мб |
7. Sparse AutoEncoders.srt |
8.78Кб |
7. Sparse AutoEncoders.vtt |
7.81Кб |
7. Step 3 - Flattening.mp4 |
7.94Мб |
7. Step 3 - Flattening.srt |
2.57Кб |
7. Step 3 - Flattening.vtt |
2.29Кб |
8. Building the MDN - Getting the MDN parameters.mp4 |
109.44Мб |
8. Building the MDN - Getting the MDN parameters.srt |
14.51Кб |
8. Building the MDN - Getting the MDN parameters.vtt |
12.80Кб |
8. Denoising AutoEncoders.mp4 |
24.10Мб |
8. Denoising AutoEncoders.srt |
3.64Кб |
8. Denoising AutoEncoders.vtt |
3.22Кб |
8. Full Code Section.html |
3.96Кб |
8. Step 4 - Full Connection.mp4 |
194.26Мб |
8. Step 4 - Full Connection.srt |
28.47Кб |
8. Step 4 - Full Connection.vtt |
25.03Кб |
8. Stochastic Gradient Descent.mp4 |
67.29Мб |
8. Stochastic Gradient Descent.srt |
12.19Кб |
8. Stochastic Gradient Descent.vtt |
10.77Кб |
9. Backpropagation.mp4 |
43.14Мб |
9. Backpropagation.srt |
7.29Кб |
9. Backpropagation.vtt |
6.44Кб |
9. Contractive AutoEncoders.mp4 |
20.55Мб |
9. Contractive AutoEncoders.srt |
3.57Кб |
9. Contractive AutoEncoders.vtt |
3.14Кб |
9. Implementing the Training operations (Part 1).mp4 |
177.44Мб |
9. Implementing the Training operations (Part 1).srt |
20.46Кб |
9. Implementing the Training operations (Part 1).vtt |
17.79Кб |
9. Summary.mp4 |
30.33Мб |
9. Summary.srt |
6.08Кб |
9. Summary.vtt |
5.37Кб |
9. The Keras Implementation.html |
7.70Кб |
How you can help Team-FTU.txt |
237б |