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[FreeCourseSite.com] Udemy - Artificial Intelligence Masterclass
magnet:?xt=urn:btih:6b7678d03113b9ce29ee3ca1e8846987cd13e4de&dn=[FreeCourseSite.com] Udemy - Artificial Intelligence Masterclass
磁力链接详情
Hash值:
6b7678d03113b9ce29ee3ca1e8846987cd13e4de
点击数:
116
文件大小:
6 GB
文件数量:
68
创建日期:
2020-11-26 03:34
最后访问:
2024-4-16 18:07
访问标签:
FreeCourseSite
com
Udemy
-
Artificial
Intelligence
Masterclass
文件列表详情
1. Introduction/1. Updates on Udemy Reviews.mp4 46.04 MB
1. Introduction/2. Introduction + Course Structure + Demo.mp4 156.76 MB
1. Introduction/3. Your Three Best Resources.mp4 143.26 MB
10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.mp4 68.6 MB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 154.25 MB
11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.mp4 108.84 MB
11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.mp4 119.43 MB
11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.mp4 149.11 MB
11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 144.07 MB
11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).mp4 143.91 MB
11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.mp4 108.1 MB
12. The Final Run/1. The Whole Implementation.mp4 191.62 MB
12. The Final Run/3. Installing the required packages.mp4 158.71 MB
12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4 125.1 MB
2. Step 1 - Artificial Neural Network/2. Plan of Attack.mp4 11.87 MB
2. Step 1 - Artificial Neural Network/3. The Neuron.mp4 98.79 MB
2. Step 1 - Artificial Neural Network/4. The Activation Function.mp4 45.36 MB
2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.mp4 81.95 MB
2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.mp4 112.12 MB
2. Step 1 - Artificial Neural Network/7. Gradient Descent.mp4 60.63 MB
2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.mp4 67.3 MB
2. Step 1 - Artificial Neural Network/9. Backpropagation.mp4 43.14 MB
3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.mp4 117.97 MB
3. Step 2 - Convolutional Neural Network/2. Plan of Attack.mp4 15.82 MB
3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.mp4 107.98 MB
3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.mp4 97.94 MB
3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.mp4 53.45 MB
3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.mp4 140.18 MB
3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.mp4 7.95 MB
3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.mp4 194.27 MB
3. Step 2 - Convolutional Neural Network/9. Summary.mp4 30.33 MB
4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.mp4 16.45 MB
4. Step 3 - AutoEncoder/11. Deep AutoEncoders.mp4 11.96 MB
4. Step 3 - AutoEncoder/2. Plan of Attack.mp4 11.85 MB
4. Step 3 - AutoEncoder/3. What are AutoEncoders.mp4 94.62 MB
4. Step 3 - AutoEncoder/4. A Note on Biases.mp4 8.62 MB
4. Step 3 - AutoEncoder/5. Training an AutoEncoder.mp4 50.31 MB
4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.mp4 28.07 MB
4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.mp4 57.46 MB
4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.mp4 24.11 MB
4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.mp4 20.56 MB
5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.mp4 103.69 MB
5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.mp4 26.32 MB
5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.mp4 26.41 MB
6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.mp4 58.86 MB
6. Step 5 - Implementing the CNN-VAE/3. Initializing all the parameters and variables of the CNN-VAE class.mp4 71.72 MB
6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.mp4 133.65 MB
6. Step 5 - Implementing the CNN-VAE/5. Building the V part of the VAE.mp4 80.34 MB
6. Step 5 - Implementing the CNN-VAE/6. Building the Decoder part of the VAE.mp4 92.89 MB
6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.mp4 186.99 MB
7. Step 6 - Recurrent Neural Network/2. Plan of Attack.mp4 10.5 MB
7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.mp4 121.09 MB
7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.mp4 111.17 MB
7. Step 6 - Recurrent Neural Network/5. LSTMs.mp4 136.52 MB
7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.mp4 187.41 MB
7. Step 6 - Recurrent Neural Network/7. LSTM Variations.mp4 20.12 MB
8. Step 7 - Mixture Density Network/2. Introduction to the MDN-RNN.mp4 83.39 MB
8. Step 7 - Mixture Density Network/3. Mixture Density Networks.mp4 65.36 MB
8. Step 7 - Mixture Density Network/4. VAE + MDN-RNN Visualization.mp4 45.31 MB
9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).mp4 162.89 MB
9. Step 8 - Implementing the MDN-RNN/2. Initializing all the parameters and variables of the MDN-RNN class.mp4 99.5 MB
9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.mp4 76.58 MB
9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.mp4 127.16 MB
9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4 131.12 MB
9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.mp4 125.49 MB
9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4 146.97 MB
9. Step 8 - Implementing the MDN-RNN/8. Building the MDN - Getting the MDN parameters.mp4 109.45 MB
9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).mp4 177.45 MB
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