| 1. The Whole Implementation.mp4 | 191.6 MB | ||
| 1. The Whole Implementation.vtt | 25.7 KB | ||
| 1. Updates on Udemy Reviews.mp4 | 46 MB | ||
| 1. Updates on Udemy Reviews.vtt | 3.1 KB | ||
| 1. Welcome to Step 1 - Artificial Neural Network.html | 614.4 B | ||
| 1. Welcome to Step 10 - Deep NeuroEvolution.html | 1.2 KB | ||
| 1. Welcome to Step 2 - Convolutional Neural Network.html | 409.6 B | ||
| 1. Welcome to Step 3 - AutoEncoder.html | 409.6 B | ||
| 1. Welcome to Step 4 - Variational AutoEncoder.html | 409.6 B | ||
| 1. Welcome to Step 5 - Implementing the CNN-VAE.html | 2.3 KB | ||
| 1. Welcome to Step 6 - Recurrent Neural Network.html | 512 B | ||
| 1. Welcome to Step 7 - Mixture Density Network.html | 512 B | ||
| 1. Welcome to Step 8 - Implementing the MDN-RNN.html | 2.8 KB | ||
| 1. Welcome to Step 9 - Reinforcement Learning.html | 409.6 B | ||
| 10. Implementing the Training operations (Part 2).mp4 | 162.9 MB | ||
| 10. Implementing the Training operations (Part 2).vtt | 17.2 KB | ||
| 10. Softmax & Cross-Entropy.mp4 | 118 MB | ||
| 10. Softmax & Cross-Entropy.vtt | 23 KB | ||
| 10. Stacked AutoEncoders.mp4 | 16.4 MB | ||
| 10. Stacked AutoEncoders.vtt | 14.4 MB | ||
| 11. Deep AutoEncoders.mp4 | 12 MB | ||
| 11. Deep AutoEncoders.vtt | 2.5 KB | ||
| 11. Full Code Section.html | 10.8 KB | ||
| 12. The Keras Implementation.html | 5.3 KB | ||
| 2. Deep NeuroEvolution.mp4 | 108.8 MB | ||
| 2. Deep NeuroEvolution.vtt | 13.8 KB | ||
| 2. Download the whole AI Masterclass folder here.html | 1 KB | ||
| 2. Initializing all the parameters and variables of the MDN-RNN class.mp4 | 99.5 MB | ||
| 2. Initializing all the parameters and variables of the MDN-RNN class.vtt | 16.4 KB | ||
| 2. Introduction + Course Structure + Demo.mp4 | 156.8 MB | ||
| 2. Introduction + Course Structure + Demo.vtt | 19.9 KB | ||
| 2. Introduction to Step 5.mp4 | 58.9 MB | ||
| 2. Introduction to Step 5.vtt | 9.8 KB | ||
| 2. Introduction to the MDN-RNN.mp4 | 83.4 MB | ||
| 2. Introduction to the MDN-RNN.vtt | 83.4 MB | ||
| 2. Introduction to the VAE.mp4 | 103.7 MB | ||
| 2. Introduction to the VAE.vtt | 10 KB | ||
| 2. Plan of Attack.mp4 | 10.5 MB | ||
| 2. Plan of Attack.vtt | 3.1 KB | ||
| 2. What is Reinforcement Learning.mp4 | 68.6 MB | ||
| 2. What is Reinforcement Learning.vtt | 16.1 KB | ||
| 2.1 AI_Masterclass.zip.zip | 17.1 MB | ||
| 3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 | 154.3 MB | ||
| 3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt | 24.5 KB | ||
| 3. Building the RNN - Gathering the parameters.mp4 | 76.6 MB | ||
| 3. Building the RNN - Gathering the parameters.vtt | 55.3 MB | ||
| 3. Evolution Strategies.mp4 | 119.4 MB | ||
| 3. Evolution Strategies.vtt | 11.9 KB | ||
| 3. Initializing all the parameters and variables of the CNN-VAE class.mp4 | 71.7 MB | ||
| 3. Initializing all the parameters and variables of the CNN-VAE class.vtt | 15.5 KB | ||
| 3. Installing the required packages.mp4 | 158.7 MB | ||
| 3. Installing the required packages.vtt | 15.1 KB | ||
| 3. Mixture Density Networks.mp4 | 65.4 MB | ||
| 3. Mixture Density Networks.vtt | 12.4 KB | ||
| 3. The Neuron.mp4 | 98.8 MB | ||
| 3. The Neuron.vtt | 22 KB | ||
| 3. Variational AutoEncoders.mp4 | 26.3 MB | ||
| 3. Variational AutoEncoders.vtt | 5.7 KB | ||
| 3. What are AutoEncoders.mp4 | 94.6 MB | ||
| 3. What are AutoEncoders.vtt | 14.6 KB | ||
| 3. What are Convolutional Neural Networks.mp4 | 108 MB | ||
| 3. What are Convolutional Neural Networks.vtt | 19.9 KB | ||
| 3. What are Recurrent Neural Networks.mp4 | 121.1 MB | ||
| 3. What are Recurrent Neural Networks.vtt | 21.4 KB | ||
| 3. Your Three Best Resources.mp4 | 143.3 MB | ||
| 3. Your Three Best Resources.vtt | 12.2 KB | ||
| 4. A Note on Biases.mp4 | 8.6 MB | ||
| 4. A Note on Biases.vtt | 1.9 KB | ||
| 4. Building the Encoder part of the VAE.mp4 | 133.7 MB | ||
| 4. Building the Encoder part of the VAE.vtt | 23.6 KB | ||
| 4. Building the RNN - Creating an LSTM cell with Dropout.mp4 | 127.2 MB | ||
| 4. Building the RNN - Creating an LSTM cell with Dropout.vtt | 19.8 KB | ||
| 4. Download the Resources here.html | 3 KB | ||
| 4. Full Code Section.html | 409.6 B | ||
| 4. Genetic Algorithms.mp4 | 149.1 MB | ||
| 4. Genetic Algorithms.vtt | 15.4 KB | ||
| 4. Reparameterization Trick.mp4 | 26.4 MB | ||
| 4. Reparameterization Trick.vtt | 6.2 KB | ||
| 4. Step 1 - The Convolution Operation.mp4 | 97.9 MB | ||
| 4. Step 1 - The Convolution Operation.vtt | 21.5 KB | ||
| 4. The Activation Function.mp4 | 45.4 MB | ||
| 4. The Activation Function.vtt | 10.5 KB | ||
| 4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4 | 125.1 MB | ||
| 4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt | 14 KB | ||
| 4. The Vanishing Gradient Problem.mp4 | 111.2 MB | ||
| 4. The Vanishing Gradient Problem.vtt | 18.6 KB | ||
| 4. VAE + MDN-RNN Visualization.mp4 | 45.3 MB | ||
| 4. VAE + MDN-RNN Visualization.vtt | 6.9 KB | ||
| 5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4 | 131.1 MB | ||
| 5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt | 17.9 KB | ||
| 5. Building the V part of the VAE.mp4 | 80.3 MB | ||
| 5. Building the V part of the VAE.vtt | 12.4 KB | ||
| 5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 | 144.1 MB | ||
| 5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt | 15.8 KB | ||
| 5. How do Neural Networks work.mp4 | 81.9 MB | ||
| 5. How do Neural Networks work.vtt | 17.3 KB | ||
| 5. LSTMs.mp4 | 136.5 MB | ||
| 5. LSTMs.vtt | 25.1 KB | ||
| 5. Meet your instructors!.html | 716.8 B | ||
| 5. Step 1 Bis - The ReLU Layer.mp4 | 53.4 MB | ||
| 5. Step 1 Bis - The ReLU Layer.vtt | 8.5 KB | ||
| 5. Training an AutoEncoder.mp4 | 50.3 MB | ||
| 5. Training an AutoEncoder.vtt | 8.6 KB | ||
| 6. Building the Decoder part of the VAE.mp4 | 92.9 MB | ||
| 6. Building the Decoder part of the VAE.vtt | 11.9 KB | ||
| 6. Building the RNN - Getting the Deterministic Output of the RNN.mp4 | 125.5 MB | ||
| 6. Building the RNN - Getting the Deterministic Output of the RNN.vtt | 15 KB | ||
| 6. How do Neural Networks learn.mp4 | 112.1 MB | ||
| 6. How do Neural Networks learn.vtt | 17 KB | ||
| 6. LSTM Practical Intuition.mp4 | 187.4 MB | ||
| 6. LSTM Practical Intuition.vtt | 18.6 KB | ||
| 6. Overcomplete Hidden Layers.mp4 | 28.1 MB | ||
| 6. Overcomplete Hidden Layers.vtt | 5 KB | ||
| 6. Parameter-Exploring Policy Gradients (PEPG).mp4 | 143.9 MB | ||
| 6. Parameter-Exploring Policy Gradients (PEPG).vtt | 15.1 KB | ||
| 6. Step 2 - Pooling.mp4 | 140.2 MB | ||
| 6. Step 2 - Pooling.vtt | 19.1 KB | ||
| 7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4 | 147 MB | ||
| 7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt | 15 KB | ||
| 7. Gradient Descent.mp4 | 60.6 MB | ||
| 7. Gradient Descent.vtt | 12.7 KB | ||
| 7. Implementing the Training operations.mp4 | 187 MB | ||
| 7. Implementing the Training operations.vtt | 21.2 KB | ||
| 7. LSTM Variations.mp4 | 20.1 MB | ||
| 7. LSTM Variations.vtt | 4.4 KB | ||
| 7. OpenAI Evolution Strategy.mp4 | 108.1 MB | ||
| 7. OpenAI Evolution Strategy.vtt | 9.7 KB | ||
| 7. Sparse AutoEncoders.mp4 | 57.5 MB | ||
| 7. Sparse AutoEncoders.vtt | 8.2 KB | ||
| 7. Step 3 - Flattening.mp4 | 7.9 MB | ||
| 7. Step 3 - Flattening.vtt | 2.3 KB | ||
| 8. Building the MDN - Getting the MDN parameters.mp4 | 109.5 MB | ||
| 8. Building the MDN - Getting the MDN parameters.vtt | 13.2 KB | ||
| 8. Denoising AutoEncoders.mp4 | 24.1 MB | ||
| 8. Denoising AutoEncoders.vtt | 3.2 KB | ||
| 8. Full Code Section.html | 4 KB | ||
| 8. Step 4 - Full Connection.mp4 | 194.3 MB | ||
| 8. Step 4 - Full Connection.vtt | 26.1 KB | ||
| 8. Stochastic Gradient Descent.mp4 | 67.3 MB | ||
| 8. Stochastic Gradient Descent.vtt | 11.2 KB | ||
| 9. Backpropagation.mp4 | 43.1 MB | ||
| 9. Backpropagation.vtt | 6.7 KB | ||
| 9. Contractive AutoEncoders.mp4 | 20.6 MB | ||
| 9. Contractive AutoEncoders.vtt | 3.3 KB | ||
| 9. Implementing the Training operations (Part 1).mp4 | 177.5 MB | ||
| 9. Implementing the Training operations (Part 1).vtt | 18.3 KB | ||
| 9. Summary.mp4 | 30.3 MB | ||
| 9. Summary.vtt | 5.7 KB | ||
| 9. The Keras Implementation.html | 7.7 KB | ||
| [CourseClub.NET].url | 102.4 B | ||
| [FCS Forum].url | 102.4 B | ||
| [FreeCourseSite.com].url | 102.4 B | ||
| ▲ 158 total files | |||
Udemy - Artificial Intelligence Masterclass [FCS]
Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models
Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team
Last updated 2/2019
For more Udemy Courses: https://freecoursesite.com
Our Forum for Discussion: https://forum.freecoursesite.com
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.8 GB | freecoursewb | 4 weeks | 11 | 5 | |
| 1.8 GB | freecoursewb | 2 months | 13 | 11 | |
| 2 GB | freecoursewb | 2 months | 27 | 34 | |
| 1.9 GB | freecoursewb | 3 months | 5 | 3 | |
| 2 GB | freecoursewb | 4 months | 15 | 8 |
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