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[DesireCourse.Com] Udemy - Artificial Intelligence Masterclass
magnet:?xt=urn:btih:63dda960206c06f8e234022d2b8161d58e8602d1&dn=[DesireCourse.Com] Udemy - Artificial Intelligence Masterclass
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文件列表详情
63dda960206c06f8e234022d2b8161d58e8602d1
infohash:
55
文件数量
4.55 GB
文件大小
2019-6-22 22:04
创建日期
2025-2-1 06:29
最后访问
相关分词
DesireCourse
Com
Udemy
-
Artificial
Intelligence
Masterclass
1. Introduction/1. Introduction + Course Structure + Demo.mp4 156.75 MB
1. Introduction/2. Your Three Best Resources.mp4 143.27 MB
10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.mp4 68.59 MB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 154.25 MB
2. Step 1 - Artificial Neural Network/2. Plan of Attack.mp4 11.86 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 45.35 MB
2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.mp4 81.94 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 60.62 MB
2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.mp4 67.3 MB
2. Step 1 - Artificial Neural Network/9. Backpropagation.mp4 43.15 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 15.81 MB
3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.mp4 107.97 MB
3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.mp4 97.93 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 140.17 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 16.44 MB
4. Step 3 - AutoEncoder/11. Deep AutoEncoders.mp4 11.97 MB
4. Step 3 - AutoEncoder/2. Plan of Attack.mp4 11.84 MB
4. Step 3 - AutoEncoder/3. What are AutoEncoders.mp4 94.61 MB
4. Step 3 - AutoEncoder/4. A Note on Biases.mp4 8.61 MB
4. Step 3 - AutoEncoder/5. Training an AutoEncoder.mp4 50.3 MB
4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.mp4 28.06 MB
4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.mp4 57.45 MB
4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.mp4 24.1 MB
4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.mp4 20.56 MB
5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.mp4 103.68 MB
5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.mp4 26.31 MB
5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.mp4 26.4 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 80.33 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 186.98 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 121.1 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 187.42 MB
7. Step 6 - Recurrent Neural Network/7. LSTM Variations.mp4 20.13 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 99.49 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 125.5 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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