[UdemyCourseDownloader] Artificial Intelligence Masterclass

Torrent Hash:
EC8F5AB8537179A4FD206FC0D96F66F4AAF43D34
Number of Files:
230
Content Size:
6.12GB
Convert On:
2020-08-13
Magnet Link:
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File Name
Size
12. The Final Run/1. The Whole Implementation.mp4
273.65MB
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udemycoursedownloader.com.url
132B
1. Introduction/1. Updates on Udemy Reviews.mp4
22.03MB
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1. Introduction/1. Updates on Udemy Reviews.srt
3.48KB
1. Introduction/1. Updates on Udemy Reviews.vtt
3.05KB
1. Introduction/2. Introduction + Course Structure + Demo.mp4
195.34MB
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1. Introduction/2. Introduction + Course Structure + Demo.srt
21.94KB
1. Introduction/2. Introduction + Course Structure + Demo.vtt
19.18KB
1. Introduction/3. BONUS Learning Paths.html
2.37KB
1. Introduction/4. Your Three Best Resources.mp4
134.49MB
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1. Introduction/4. Your Three Best Resources.srt
13.32KB
1. Introduction/4. Your Three Best Resources.vtt
11.81KB
1. Introduction/5. Download the Resources here.html
790B
1. Introduction/6. Meet your instructors!.html
723B
2. Step 1 - Artificial Neural Network/1. Welcome to Step 1 - Artificial Neural Network.html
605B
2. Step 1 - Artificial Neural Network/2. Plan of Attack.mp4
15.85MB
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2. Step 1 - Artificial Neural Network/2. Plan of Attack.srt
3.94KB
2. Step 1 - Artificial Neural Network/2. Plan of Attack.vtt
3.5KB
2. Step 1 - Artificial Neural Network/3. The Neuron.mp4
98.79MB
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2. Step 1 - Artificial Neural Network/3. The Neuron.srt
24.65KB
2. Step 1 - Artificial Neural Network/3. The Neuron.vtt
21.63KB
2. Step 1 - Artificial Neural Network/4. The Activation Function.mp4
45.36MB
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2. Step 1 - Artificial Neural Network/4. The Activation Function.srt
11.8KB
2. Step 1 - Artificial Neural Network/4. The Activation Function.vtt
10.41KB
2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.mp4
81.94MB
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2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.srt
19.05KB
2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.vtt
16.81KB
2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.mp4
112.11MB
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2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.srt
18.96KB
2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.vtt
16.52KB
2. Step 1 - Artificial Neural Network/7. Gradient Descent.mp4
60.62MB
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2. Step 1 - Artificial Neural Network/7. Gradient Descent.srt
14.17KB
2. Step 1 - Artificial Neural Network/7. Gradient Descent.vtt
12.35KB
2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.mp4
67.29MB
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2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.srt
12.19KB
2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.vtt
10.77KB
2. Step 1 - Artificial Neural Network/9. Backpropagation.mp4
43.14MB
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2. Step 1 - Artificial Neural Network/9. Backpropagation.srt
7.29KB
2. Step 1 - Artificial Neural Network/9. Backpropagation.vtt
6.44KB
3. Step 2 - Convolutional Neural Network/1. Welcome to Step 2 - Convolutional Neural Network.html
430B
3. Step 2 - Convolutional Neural Network/2. Plan of Attack.mp4
21.81MB
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3. Step 2 - Convolutional Neural Network/2. Plan of Attack.srt
5.34KB
3. Step 2 - Convolutional Neural Network/2. Plan of Attack.vtt
4.69KB
3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.mp4
107.97MB
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3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.srt
22.18KB
3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.vtt
19.42KB
3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.mp4
97.93MB
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3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.srt
23.26KB
3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.vtt
20.42KB
3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.mp4
53.44MB
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3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.srt
9.31KB
3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.vtt
8.16KB
3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.mp4
140.17MB
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3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.srt
21KB
3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.vtt
18.39KB
3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.mp4
7.94MB
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3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.srt
2.57KB
3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.vtt
2.29KB
3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.mp4
194.26MB
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3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.srt
28.47KB
3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.vtt
25.03KB
3. Step 2 - Convolutional Neural Network/9. Summary.mp4
30.33MB
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3. Step 2 - Convolutional Neural Network/9. Summary.srt
6.08KB
3. Step 2 - Convolutional Neural Network/9. Summary.vtt
5.37KB
3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.mp4
117.97MB
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3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.srt
25.29KB
3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.vtt
22.15KB
4. Step 3 - AutoEncoder/1. Welcome to Step 3 - AutoEncoder.html
418B
4. Step 3 - AutoEncoder/2. Plan of Attack.mp4
15.85MB
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4. Step 3 - AutoEncoder/2. Plan of Attack.srt
3.22KB
4. Step 3 - AutoEncoder/2. Plan of Attack.vtt
2.87KB
4. Step 3 - AutoEncoder/3. What are AutoEncoders.mp4
94.61MB
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4. Step 3 - AutoEncoder/3. What are AutoEncoders.srt
16.3KB
4. Step 3 - AutoEncoder/3. What are AutoEncoders.vtt
14.31KB
4. Step 3 - AutoEncoder/4. A Note on Biases.mp4
8.61MB
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4. Step 3 - AutoEncoder/4. A Note on Biases.srt
2.09KB
4. Step 3 - AutoEncoder/4. A Note on Biases.vtt
1.8KB
4. Step 3 - AutoEncoder/5. Training an AutoEncoder.mp4
50.3MB
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4. Step 3 - AutoEncoder/5. Training an AutoEncoder.srt
9.54KB
4. Step 3 - AutoEncoder/5. Training an AutoEncoder.vtt
8.37KB
4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.mp4
28.06MB
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4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.srt
5.66KB
4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.vtt
4.99KB
4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.mp4
57.45MB
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4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.srt
8.78KB
4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.vtt
7.81KB
4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.mp4
24.1MB
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4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.srt
3.64KB
4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.vtt
3.22KB
4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.mp4
20.55MB
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4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.srt
3.57KB
4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.vtt
3.14KB
4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.mp4
16.44MB
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4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.srt
2.41KB
4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.vtt
2.14KB
4. Step 3 - AutoEncoder/11. Deep AutoEncoders.mp4
11.97MB
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4. Step 3 - AutoEncoder/11. Deep AutoEncoders.srt
2.72KB
4. Step 3 - AutoEncoder/11. Deep AutoEncoders.vtt
2.39KB
5. Step 4 - Variational AutoEncoder/1. Welcome to Step 4 - Variational AutoEncoder.html
423B
5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.mp4
72.81MB
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5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.srt
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5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.vtt
9.67KB
5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.mp4
26.31MB
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5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.srt
6.14KB
5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.vtt
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5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.mp4
26.41MB
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5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.srt
6.58KB
5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.vtt
5.8KB
6. Step 5 - Implementing the CNN-VAE/1. Welcome to Step 5 - Implementing the CNN-VAE.html
2.3KB
6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.mp4
58.85MB
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6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.srt
10.75KB
6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.vtt
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6. Step 5 - Implementing the CNN-VAE/3. Initializing all the parameters and variables of the CNN-VAE class.mp4
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16.95KB
6. Step 5 - Implementing the CNN-VAE/3. Initializing all the parameters and variables of the CNN-VAE class.vtt
14.87KB
6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.mp4
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26.15KB
6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.vtt
22.76KB
6. Step 5 - Implementing the CNN-VAE/5. Building the V part of the VAE.mp4
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6. Step 5 - Implementing the CNN-VAE/5. Building the V part of the VAE.srt
13.46KB
6. Step 5 - Implementing the CNN-VAE/5. Building the V part of the VAE.vtt
11.79KB
6. Step 5 - Implementing the CNN-VAE/6. Building the Decoder part of the VAE.mp4
92.89MB
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6. Step 5 - Implementing the CNN-VAE/6. Building the Decoder part of the VAE.srt
13.04KB
6. Step 5 - Implementing the CNN-VAE/6. Building the Decoder part of the VAE.vtt
11.43KB
6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.mp4
186.98MB
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6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.srt
23.44KB
6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.vtt
20.37KB
6. Step 5 - Implementing the CNN-VAE/8. Full Code Section.html
3.96KB
6. Step 5 - Implementing the CNN-VAE/9. The Keras Implementation.html
7.7KB
7. Step 6 - Recurrent Neural Network/1. Welcome to Step 6 - Recurrent Neural Network.html
507B
7. Step 6 - Recurrent Neural Network/2. Plan of Attack.mp4
10.5MB
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7. Step 6 - Recurrent Neural Network/2. Plan of Attack.srt
3.43KB
7. Step 6 - Recurrent Neural Network/2. Plan of Attack.vtt
3.07KB
7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.mp4
121.09MB
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7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.srt
23.84KB
7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.vtt
20.83KB
7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.mp4
111.17MB
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7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.srt
20.79KB
7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.vtt
18.26KB
7. Step 6 - Recurrent Neural Network/5. LSTMs.mp4
136.52MB
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7. Step 6 - Recurrent Neural Network/5. LSTMs.srt
28.24KB
7. Step 6 - Recurrent Neural Network/5. LSTMs.vtt
24.65KB
7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.mp4
187.41MB
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7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.srt
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7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.vtt
18.36KB
7. Step 6 - Recurrent Neural Network/7. LSTM Variations.mp4
20.12MB
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7. Step 6 - Recurrent Neural Network/7. LSTM Variations.srt
4.87KB
7. Step 6 - Recurrent Neural Network/7. LSTM Variations.vtt
4.28KB
8. Step 7 - Mixture Density Network/1. Welcome to Step 7 - Mixture Density Network.html
517B
8. Step 7 - Mixture Density Network/2. Introduction to the MDN-RNN.mp4
83.39MB
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8. Step 7 - Mixture Density Network/2. Introduction to the MDN-RNN.srt
12.69KB
8. Step 7 - Mixture Density Network/2. Introduction to the MDN-RNN.vtt
11.19KB
8. Step 7 - Mixture Density Network/3. Mixture Density Networks.mp4
65.35MB
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8. Step 7 - Mixture Density Network/3. Mixture Density Networks.srt
13.54KB
8. Step 7 - Mixture Density Network/3. Mixture Density Networks.vtt
11.95KB
8. Step 7 - Mixture Density Network/4. VAE + MDN-RNN Visualization.mp4
45.3MB
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8. Step 7 - Mixture Density Network/4. VAE + MDN-RNN Visualization.srt
7.55KB
8. Step 7 - Mixture Density Network/4. VAE + MDN-RNN Visualization.vtt
6.65KB
9. Step 8 - Implementing the MDN-RNN/1. Welcome to Step 8 - Implementing the MDN-RNN.html
2.81KB
9. Step 8 - Implementing the MDN-RNN/2. Initializing all the parameters and variables of the MDN-RNN class.mp4
99.49MB
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9. Step 8 - Implementing the MDN-RNN/2. Initializing all the parameters and variables of the MDN-RNN class.srt
17.99KB
9. Step 8 - Implementing the MDN-RNN/2. Initializing all the parameters and variables of the MDN-RNN class.vtt
15.81KB
9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.mp4
76.58MB
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9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.srt
12.89KB
9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.vtt
11.33KB
9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.mp4
127.16MB
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9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.srt
21.85KB
9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.vtt
19.19KB
9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4
131.12MB
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9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.srt
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9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt
17.7KB
9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.mp4
125.49MB
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9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.srt
16.37KB
9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.vtt
14.37KB
9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4
146.98MB
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9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.srt
16.55KB
9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt
14.65KB
9. Step 8 - Implementing the MDN-RNN/8. Building the MDN - Getting the MDN parameters.mp4
109.44MB
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9. Step 8 - Implementing the MDN-RNN/8. Building the MDN - Getting the MDN parameters.srt
14.51KB
9. Step 8 - Implementing the MDN-RNN/8. Building the MDN - Getting the MDN parameters.vtt
12.8KB
9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).mp4
177.44MB
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9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).srt
20.46KB
9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).vtt
17.79KB
9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).mp4
162.89MB
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9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).srt
18.9KB
9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).vtt
16.42KB
9. Step 8 - Implementing the MDN-RNN/11. Full Code Section.html
10.8KB
9. Step 8 - Implementing the MDN-RNN/12. The Keras Implementation.html
5.26KB
10. Step 9 - Reinforcement Learning/1. Welcome to Step 9 - Reinforcement Learning.html
424B
10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.mp4
68.6MB
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10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.srt
18.12KB
10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.vtt
15.98KB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4
154.25MB
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10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.srt
26.98KB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt
23.52KB
10. Step 9 - Reinforcement Learning/4. Full Code Section.html
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11. Step 10 - Deep NeuroEvolution/1. Welcome to Step 10 - Deep NeuroEvolution.html
1.22KB
11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.mp4
108.84MB
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11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.srt
15.08KB
11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.vtt
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11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.mp4
119.44MB
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11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.srt
12.97KB
11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.vtt
11.38KB
11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.mp4
149.11MB
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11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.srt
17.66KB
11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.vtt
15.47KB
11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4
144.06MB
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11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).srt
17.19KB
11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt
15.17KB
11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).mp4
143.9MB
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11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).srt
16.39KB
11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).vtt
14.53KB
11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.mp4
108.09MB
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11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.srt
10.36KB
11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.vtt
9.16KB
Udemy Course downloader.txt
94B
12. The Final Run/1. The Whole Implementation.srt
28.35KB
12. The Final Run/1. The Whole Implementation.vtt
24.9KB
12. The Final Run/2. Download the whole AI Masterclass folder here.html
1.02KB
12. The Final Run/2.1 AI Masterclass.zip.zip
17.05MB
12. The Final Run/3. Installing the required packages.mp4
158.71MB
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12. The Final Run/3. Installing the required packages.srt
17.53KB
12. The Final Run/3. Installing the required packages.vtt
14.97KB
12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4
125.09MB
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12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.srt
15.83KB
12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt
13.48KB
12. The Final Run/5. THANK YOU bonus video.mp4
29.21MB
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12. The Final Run/5. THANK YOU bonus video.srt
2.32KB
12. The Final Run/5. THANK YOU bonus video.vtt
2.04KB
13. Bonus Lectures/1. YOUR SPECIAL BONUS.html
1.1KB

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