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[FreeCourseSite.com] Udemy - Artificial Intelligence Masterclass
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2020-11-26 03:34
2024-8-28 17:03
124
6 GB
68
磁力链接
magnet:?xt=urn:btih:6b7678d03113b9ce29ee3ca1e8846987cd13e4de
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjZiNzY3OGQwMzExM2I5Y2UyOWVlM2NhMWU4ODQ2OTg3Y2QxM2U0ZGVaWg==
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相关链接
FreeCourseSite
com
Udemy
-
Artificial
Intelligence
Masterclass
文件列表
1. Introduction/1. Updates on Udemy Reviews.mp4
46.04MB
1. Introduction/2. Introduction + Course Structure + Demo.mp4
156.76MB
1. Introduction/3. Your Three Best Resources.mp4
143.26MB
10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.mp4
68.6MB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4
154.25MB
11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.mp4
108.84MB
11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.mp4
119.43MB
11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.mp4
149.11MB
11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4
144.07MB
11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).mp4
143.91MB
11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.mp4
108.1MB
12. The Final Run/1. The Whole Implementation.mp4
191.62MB
12. The Final Run/3. Installing the required packages.mp4
158.71MB
12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4
125.1MB
2. Step 1 - Artificial Neural Network/2. Plan of Attack.mp4
11.87MB
2. Step 1 - Artificial Neural Network/3. The Neuron.mp4
98.79MB
2. Step 1 - Artificial Neural Network/4. The Activation Function.mp4
45.36MB
2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.mp4
81.95MB
2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.mp4
112.12MB
2. Step 1 - Artificial Neural Network/7. Gradient Descent.mp4
60.63MB
2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.mp4
67.3MB
2. Step 1 - Artificial Neural Network/9. Backpropagation.mp4
43.14MB
3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.mp4
117.97MB
3. Step 2 - Convolutional Neural Network/2. Plan of Attack.mp4
15.82MB
3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.mp4
107.98MB
3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.mp4
97.94MB
3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.mp4
53.45MB
3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.mp4
140.18MB
3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.mp4
7.95MB
3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.mp4
194.27MB
3. Step 2 - Convolutional Neural Network/9. Summary.mp4
30.33MB
4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.mp4
16.45MB
4. Step 3 - AutoEncoder/11. Deep AutoEncoders.mp4
11.96MB
4. Step 3 - AutoEncoder/2. Plan of Attack.mp4
11.85MB
4. Step 3 - AutoEncoder/3. What are AutoEncoders.mp4
94.62MB
4. Step 3 - AutoEncoder/4. A Note on Biases.mp4
8.62MB
4. Step 3 - AutoEncoder/5. Training an AutoEncoder.mp4
50.31MB
4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.mp4
28.07MB
4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.mp4
57.46MB
4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.mp4
24.11MB
4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.mp4
20.56MB
5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.mp4
103.69MB
5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.mp4
26.32MB
5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.mp4
26.41MB
6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.mp4
58.86MB
6. Step 5 - Implementing the CNN-VAE/3. Initializing all the parameters and variables of the CNN-VAE class.mp4
71.72MB
6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.mp4
133.65MB
6. Step 5 - Implementing the CNN-VAE/5. Building the V part of the VAE.mp4
80.34MB
6. Step 5 - Implementing the CNN-VAE/6. Building the Decoder part of the VAE.mp4
92.89MB
6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.mp4
186.99MB
7. Step 6 - Recurrent Neural Network/2. Plan of Attack.mp4
10.5MB
7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.mp4
121.09MB
7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.mp4
111.17MB
7. Step 6 - Recurrent Neural Network/5. LSTMs.mp4
136.52MB
7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.mp4
187.41MB
7. Step 6 - Recurrent Neural Network/7. LSTM Variations.mp4
20.12MB
8. Step 7 - Mixture Density Network/2. Introduction to the MDN-RNN.mp4
83.39MB
8. Step 7 - Mixture Density Network/3. Mixture Density Networks.mp4
65.36MB
8. Step 7 - Mixture Density Network/4. VAE + MDN-RNN Visualization.mp4
45.31MB
9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).mp4
162.89MB
9. Step 8 - Implementing the MDN-RNN/2. Initializing all the parameters and variables of the MDN-RNN class.mp4
99.5MB
9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.mp4
76.58MB
9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.mp4
127.16MB
9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4
131.12MB
9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.mp4
125.49MB
9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4
146.97MB
9. Step 8 - Implementing the MDN-RNN/8. Building the MDN - Getting the MDN parameters.mp4
109.45MB
9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).mp4
177.45MB
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