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1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url |
328B |
1. The Whole Implementation.mp4 |
273.65MB |
1. The Whole Implementation.srt |
28.35KB |
1. The Whole Implementation.vtt |
24.90KB |
1. Updates on Udemy Reviews.mp4 |
22.03MB |
1. Updates on Udemy Reviews.srt |
3.48KB |
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 |
1. YOUR SPECIAL BONUS.html |
1.10KB |
10. Implementing the Training operations (Part 2).mp4 |
162.89MB |
10. Implementing the Training operations (Part 2).srt |
18.90KB |
10. Implementing the Training operations (Part 2).vtt |
16.42KB |
10. Softmax & Cross-Entropy.mp4 |
117.97MB |
10. Softmax & Cross-Entropy.srt |
25.29KB |
10. Softmax & Cross-Entropy.vtt |
22.15KB |
10. Stacked AutoEncoders.mp4 |
16.44MB |
10. Stacked AutoEncoders.srt |
2.41KB |
10. Stacked AutoEncoders.vtt |
2.14KB |
11. Deep AutoEncoders.mp4 |
11.97MB |
11. Deep AutoEncoders.srt |
2.72KB |
11. Deep AutoEncoders.vtt |
2.39KB |
11. Full Code Section.html |
10.80KB |
12. The Keras Implementation.html |
5.26KB |
2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286B |
2.1 AI Masterclass.zip.zip |
17.05MB |
2. Deep NeuroEvolution.mp4 |
108.84MB |
2. Deep NeuroEvolution.srt |
15.08KB |
2. Deep NeuroEvolution.vtt |
13.35KB |
2. Download the whole AI Masterclass folder here.html |
1.02KB |
2. Initializing all the parameters and variables of the MDN-RNN class.mp4 |
99.49MB |
2. Initializing all the parameters and variables of the MDN-RNN class.srt |
17.99KB |
2. Initializing all the parameters and variables of the MDN-RNN class.vtt |
15.81KB |
2. Introduction + Course Structure + Demo.mp4 |
195.34MB |
2. Introduction + Course Structure + Demo.srt |
21.94KB |
2. Introduction + Course Structure + Demo.vtt |
19.18KB |
2. Introduction to Step 5.mp4 |
58.85MB |
2. Introduction to Step 5.srt |
10.75KB |
2. Introduction to Step 5.vtt |
9.42KB |
2. Introduction to the MDN-RNN.mp4 |
83.39MB |
2. Introduction to the MDN-RNN.srt |
12.69KB |
2. Introduction to the MDN-RNN.vtt |
11.19KB |
2. Introduction to the VAE.mp4 |
72.81MB |
2. Introduction to the VAE.srt |
11.00KB |
2. Introduction to the VAE.vtt |
9.67KB |
2. Plan of Attack.mp4 |
15.85MB |
2. Plan of Attack.mp4 |
21.81MB |
2. Plan of Attack.mp4 |
15.85MB |
2. Plan of Attack.mp4 |
10.50MB |
2. Plan of Attack.srt |
3.94KB |
2. Plan of Attack.srt |
5.34KB |
2. Plan of Attack.srt |
3.22KB |
2. Plan of Attack.srt |
3.43KB |
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 |
68.60MB |
2. What is Reinforcement Learning.srt |
18.12KB |
2. What is Reinforcement Learning.vtt |
15.98KB |
3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url |
163B |
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.srt |
26.98KB |
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt |
23.52KB |
3. BONUS Learning Paths.html |
2.37KB |
3. Building the RNN - Gathering the parameters.mp4 |
76.58MB |
3. Building the RNN - Gathering the parameters.srt |
12.89KB |
3. Building the RNN - Gathering the parameters.vtt |
11.33KB |
3. Evolution Strategies.mp4 |
119.44MB |
3. Evolution Strategies.srt |
12.97KB |
3. Evolution Strategies.vtt |
11.38KB |
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.srt |
16.95KB |
3. Initializing all the parameters and variables of the CNN-VAE class.vtt |
14.87KB |
3. Installing the required packages.mp4 |
158.71MB |
3. Installing the required packages.srt |
17.53KB |
3. Installing the required packages.vtt |
14.97KB |
3. Mixture Density Networks.mp4 |
65.35MB |
3. Mixture Density Networks.srt |
13.54KB |
3. Mixture Density Networks.vtt |
11.95KB |
3. The Neuron.mp4 |
98.79MB |
3. The Neuron.srt |
24.65KB |
3. The Neuron.vtt |
21.63KB |
3. Variational AutoEncoders.mp4 |
26.31MB |
3. Variational AutoEncoders.srt |
6.14KB |
3. Variational AutoEncoders.vtt |
5.43KB |
3. What are AutoEncoders.mp4 |
94.61MB |
3. What are AutoEncoders.srt |
16.30KB |
3. What are AutoEncoders.vtt |
14.31KB |
3. What are Convolutional Neural Networks.mp4 |
107.97MB |
3. What are Convolutional Neural Networks.srt |
22.18KB |
3. What are Convolutional Neural Networks.vtt |
19.42KB |
3. What are Recurrent Neural Networks.mp4 |
121.09MB |
3. What are Recurrent Neural Networks.srt |
23.84KB |
3. What are Recurrent Neural Networks.vtt |
20.83KB |
4. (FTUApps.com) Download Cracked Developers Applications For Free.url |
239B |
4. A Note on Biases.mp4 |
8.61MB |
4. A Note on Biases.srt |
2.09KB |
4. A Note on Biases.vtt |
1.80KB |
4. Building the Encoder part of the VAE.mp4 |
133.64MB |
4. Building the Encoder part of the VAE.srt |
26.15KB |
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.srt |
21.85KB |
4. Building the RNN - Creating an LSTM cell with Dropout.vtt |
19.19KB |
4. Full Code Section.html |
393B |
4. Genetic Algorithms.mp4 |
149.11MB |
4. Genetic Algorithms.srt |
17.66KB |
4. Genetic Algorithms.vtt |
15.47KB |
4. Reparameterization Trick.mp4 |
26.41MB |
4. Reparameterization Trick.srt |
6.58KB |
4. Reparameterization Trick.vtt |
5.80KB |
4. Step 1 - The Convolution Operation.mp4 |
97.93MB |
4. Step 1 - The Convolution Operation.srt |
23.26KB |
4. Step 1 - The Convolution Operation.vtt |
20.42KB |
4. The Activation Function.mp4 |
45.36MB |
4. The Activation Function.srt |
11.80KB |
4. The Activation Function.vtt |
10.41KB |
4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4 |
125.09MB |
4. The Final Race Human Intelligence vs. Artificial Intelligence.srt |
15.83KB |
4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt |
13.48KB |
4. The Vanishing Gradient Problem.mp4 |
111.17MB |
4. The Vanishing Gradient Problem.srt |
20.79KB |
4. The Vanishing Gradient Problem.vtt |
18.26KB |
4. VAE + MDN-RNN Visualization.mp4 |
45.30MB |
4. VAE + MDN-RNN Visualization.srt |
7.55KB |
4. VAE + MDN-RNN Visualization.vtt |
6.65KB |
4. Your Three Best Resources.mp4 |
134.49MB |
4. Your Three Best Resources.srt |
13.32KB |
4. Your Three Best Resources.vtt |
11.81KB |
5. (Discuss.FTUForum.com) FTU Discussion Forum.url |
294B |
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.srt |
20.02KB |
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.srt |
13.46KB |
5. Building the V part of the VAE.vtt |
11.79KB |
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 |
144.06MB |
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).srt |
17.19KB |
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt |
15.17KB |
5. Download the Resources here.html |
790B |
5. How do Neural Networks work.mp4 |
81.94MB |
5. How do Neural Networks work.srt |
19.05KB |
5. How do Neural Networks work.vtt |
16.81KB |
5. LSTMs.mp4 |
136.52MB |
5. LSTMs.srt |
28.24KB |
5. LSTMs.vtt |
24.65KB |
5. Step 1 Bis - The ReLU Layer.mp4 |
53.44MB |
5. Step 1 Bis - The ReLU Layer.srt |
9.31KB |
5. Step 1 Bis - The ReLU Layer.vtt |
8.16KB |
5. THANK YOU bonus video.mp4 |
29.21MB |
5. THANK YOU bonus video.srt |
2.32KB |
5. THANK YOU bonus video.vtt |
2.04KB |
5. Training an AutoEncoder.mp4 |
50.30MB |
5. Training an AutoEncoder.srt |
9.54KB |
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.srt |
13.04KB |
6. Building the Decoder part of the VAE.vtt |
11.43KB |
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.srt |
16.37KB |
6. Building the RNN - Getting the Deterministic Output of the RNN.vtt |
14.37KB |
6. How do Neural Networks learn.mp4 |
112.11MB |
6. How do Neural Networks learn.srt |
18.96KB |
6. How do Neural Networks learn.vtt |
16.52KB |
6. LSTM Practical Intuition.mp4 |
187.41MB |
6. LSTM Practical Intuition.srt |
20.98KB |
6. LSTM Practical Intuition.vtt |
18.36KB |
6. Meet your instructors!.html |
723B |
6. Overcomplete Hidden Layers.mp4 |
28.06MB |
6. Overcomplete Hidden Layers.srt |
5.66KB |
6. Overcomplete Hidden Layers.vtt |
4.99KB |
6. Parameter-Exploring Policy Gradients (PEPG).mp4 |
143.90MB |
6. Parameter-Exploring Policy Gradients (PEPG).srt |
16.39KB |
6. Parameter-Exploring Policy Gradients (PEPG).vtt |
14.53KB |
6. Step 2 - Pooling.mp4 |
140.17MB |
6. Step 2 - Pooling.srt |
21.00KB |
6. Step 2 - Pooling.vtt |
18.39KB |
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4 |
146.98MB |
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.srt |
16.55KB |
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.srt |
14.17KB |
7. Gradient Descent.vtt |
12.35KB |
7. Implementing the Training operations.mp4 |
186.98MB |
7. Implementing the Training operations.srt |
23.44KB |
7. Implementing the Training operations.vtt |
20.37KB |
7. LSTM Variations.mp4 |
20.12MB |
7. LSTM Variations.srt |
4.87KB |
7. LSTM Variations.vtt |
4.28KB |
7. OpenAI Evolution Strategy.mp4 |
108.09MB |
7. OpenAI Evolution Strategy.srt |
10.36KB |
7. OpenAI Evolution Strategy.vtt |
9.16KB |
7. Sparse AutoEncoders.mp4 |
57.45MB |
7. Sparse AutoEncoders.srt |
8.78KB |
7. Sparse AutoEncoders.vtt |
7.81KB |
7. Step 3 - Flattening.mp4 |
7.94MB |
7. Step 3 - Flattening.srt |
2.57KB |
7. Step 3 - Flattening.vtt |
2.29KB |
8. Building the MDN - Getting the MDN parameters.mp4 |
109.44MB |
8. Building the MDN - Getting the MDN parameters.srt |
14.51KB |
8. Building the MDN - Getting the MDN parameters.vtt |
12.80KB |
8. Denoising AutoEncoders.mp4 |
24.10MB |
8. Denoising AutoEncoders.srt |
3.64KB |
8. Denoising AutoEncoders.vtt |
3.22KB |
8. Full Code Section.html |
3.96KB |
8. Step 4 - Full Connection.mp4 |
194.26MB |
8. Step 4 - Full Connection.srt |
28.47KB |
8. Step 4 - Full Connection.vtt |
25.03KB |
8. Stochastic Gradient Descent.mp4 |
67.29MB |
8. Stochastic Gradient Descent.srt |
12.19KB |
8. Stochastic Gradient Descent.vtt |
10.77KB |
9. Backpropagation.mp4 |
43.14MB |
9. Backpropagation.srt |
7.29KB |
9. Backpropagation.vtt |
6.44KB |
9. Contractive AutoEncoders.mp4 |
20.55MB |
9. Contractive AutoEncoders.srt |
3.57KB |
9. Contractive AutoEncoders.vtt |
3.14KB |
9. Implementing the Training operations (Part 1).mp4 |
177.44MB |
9. Implementing the Training operations (Part 1).srt |
20.46KB |
9. Implementing the Training operations (Part 1).vtt |
17.79KB |
9. Summary.mp4 |
30.33MB |
9. Summary.srt |
6.08KB |
9. Summary.vtt |
5.37KB |
9. The Keras Implementation.html |
7.70KB |
How you can help Team-FTU.txt |
237B |