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[DesireCourse.Com] Udemy - Artificial Intelligence Masterclass

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File Name
Size
1. Introduction/1. Introduction + Course Structure + Demo.mp4
157 MB
1. Introduction/1. Introduction + Course Structure + Demo.vtt
19 kB
1. Introduction/2. Your Three Best Resources.mp4
143 MB
1. Introduction/2. Your Three Best Resources.vtt
12 kB
1. Introduction/3. Download the Resources here.html
3.0 kB
1. Introduction/4. Meet your instructors!.html
723 B
10. Step 9 - Reinforcement Learning/1. Welcome to Step 9 - Reinforcement Learning.html
424 B
10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.mp4
69 MB
10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.vtt
16 kB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4
154 MB
10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt
24 kB
10. Step 9 - Reinforcement Learning/4. Full Code Section.html
393 B
11. Step 10 - Deep NeuroEvolution/1. Welcome to Step 10 - Deep NeuroEvolution.html
1.1 kB
2. Step 1 - Artificial Neural Network/1. Welcome to Step 1 - Artificial Neural Network.html
605 B
2. Step 1 - Artificial Neural Network/2. Plan of Attack.mp4
12 MB
2. Step 1 - Artificial Neural Network/2. Plan of Attack.vtt
3.5 kB
2. Step 1 - Artificial Neural Network/3. The Neuron.mp4
99 MB
2. Step 1 - Artificial Neural Network/3. The Neuron.vtt
22 kB
2. Step 1 - Artificial Neural Network/4. The Activation Function.mp4
45 MB
2. Step 1 - Artificial Neural Network/4. The Activation Function.vtt
10 kB
2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.mp4
82 MB
2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.vtt
17 kB
2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.mp4
112 MB
2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.vtt
16 kB
2. Step 1 - Artificial Neural Network/7. Gradient Descent.mp4
61 MB
2. Step 1 - Artificial Neural Network/7. Gradient Descent.vtt
12 kB
2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.mp4
67 MB
2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.vtt
11 kB
2. Step 1 - Artificial Neural Network/9. Backpropagation.mp4
43 MB
2. Step 1 - Artificial Neural Network/9. Backpropagation.vtt
6.4 kB
3. Step 2 - Convolutional Neural Network/1. Welcome to Step 2 - Convolutional Neural Network.html
430 B
3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.mp4
118 MB
3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.vtt
22 kB
3. Step 2 - Convolutional Neural Network/2. Plan of Attack.mp4
16 MB
3. Step 2 - Convolutional Neural Network/2. Plan of Attack.vtt
4.7 kB
3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.mp4
108 MB
3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.vtt
19 kB
3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.mp4
98 MB
3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.vtt
20 kB
3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.mp4
53 MB
3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.vtt
8.2 kB
3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.mp4
140 MB
3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.vtt
18 kB
3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.mp4
7.9 MB
3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.vtt
2.3 kB
3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.mp4
194 MB
3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.vtt
25 kB
3. Step 2 - Convolutional Neural Network/9. Summary.mp4
30 MB
3. Step 2 - Convolutional Neural Network/9. Summary.vtt
5.4 kB
4. Step 3 - AutoEncoder/1. Welcome to Step 3 - AutoEncoder.html
418 B
4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.mp4
16 MB
4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.vtt
2.1 kB
4. Step 3 - AutoEncoder/11. Deep AutoEncoders.mp4
12 MB
4. Step 3 - AutoEncoder/11. Deep AutoEncoders.vtt
2.4 kB
4. Step 3 - AutoEncoder/2. Plan of Attack.mp4
12 MB
4. Step 3 - AutoEncoder/2. Plan of Attack.vtt
2.9 kB
4. Step 3 - AutoEncoder/3. What are AutoEncoders.mp4
95 MB
4. Step 3 - AutoEncoder/3. What are AutoEncoders.vtt
14 kB
4. Step 3 - AutoEncoder/4. A Note on Biases.mp4
8.6 MB
4. Step 3 - AutoEncoder/4. A Note on Biases.vtt
1.8 kB
4. Step 3 - AutoEncoder/5. Training an AutoEncoder.mp4
50 MB
4. Step 3 - AutoEncoder/5. Training an AutoEncoder.vtt
8.4 kB
4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.mp4
28 MB
4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.vtt
5.0 kB
4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.mp4
58 MB
4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.vtt
7.8 kB
4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.mp4
24 MB
4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.vtt
3.2 kB
4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.mp4
21 MB
4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.vtt
3.1 kB
5. Step 4 - Variational AutoEncoder/1. Welcome to Step 4 - Variational AutoEncoder.html
423 B
5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.mp4
104 MB
5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.vtt
9.7 kB
5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.mp4
26 MB
5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.vtt
5.4 kB
5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.mp4
26 MB
5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.vtt
5.8 kB
6. Step 5 - Implementing the CNN-VAE/1. Welcome to Step 5 - Implementing the CNN-VAE.html
2.3 kB
6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.mp4
59 MB
6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.vtt
9.4 kB
6. Step 5 - Implementing the CNN-VAE/3. Initializing all the parameters and variables of the CNN-VAE class.mp4
72 MB
6. Step 5 - Implementing the CNN-VAE/3. Initializing all the parameters and variables of the CNN-VAE class.vtt
15 kB
6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.mp4
134 MB
6. Step 5 - Implementing the CNN-VAE/4. Building the Encoder part of the VAE.vtt
23 kB
6. Step 5 - Implementing the CNN-VAE/5. Building the V part of the VAE.mp4
80 MB
6. Step 5 - Implementing the CNN-VAE/5. Building the V part of the VAE.vtt
12 kB
6. Step 5 - Implementing the CNN-VAE/6. Building the Decoder part of the VAE.mp4
93 MB
6. Step 5 - Implementing the CNN-VAE/6. Building the Decoder part of the VAE.vtt
11 kB
6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.mp4
187 MB
6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.vtt
20 kB
6. Step 5 - Implementing the CNN-VAE/8. Full Code Section.html
4.0 kB
7. Step 6 - Recurrent Neural Network/1. Welcome to Step 6 - Recurrent Neural Network.html
507 B
7. Step 6 - Recurrent Neural Network/2. Plan of Attack.mp4
10 MB
7. Step 6 - Recurrent Neural Network/2. Plan of Attack.vtt
3.1 kB
7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.mp4
121 MB
7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.vtt
21 kB
7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.mp4
111 MB
7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.vtt
18 kB
7. Step 6 - Recurrent Neural Network/5. LSTMs.mp4
136 MB
7. Step 6 - Recurrent Neural Network/5. LSTMs.vtt
25 kB
7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.mp4
187 MB
7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.vtt
18 kB
7. Step 6 - Recurrent Neural Network/7. LSTM Variations.mp4
20 MB
7. Step 6 - Recurrent Neural Network/7. LSTM Variations.vtt
4.3 kB
8. Step 7 - Mixture Density Network/1. Welcome to Step 7 - Mixture Density Network.html
517 B
9. Step 8 - Implementing the MDN-RNN/1. Welcome to Step 8 - Implementing the MDN-RNN.html
2.8 kB
9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).mp4
163 MB
9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).vtt
16 kB
9. Step 8 - Implementing the MDN-RNN/11. Full Code Section.html
11 kB
9. Step 8 - Implementing the MDN-RNN/2. Initializing all the parameters and variables of the MDN-RNN class.mp4
100 MB
9. Step 8 - Implementing the MDN-RNN/2. Initializing all the parameters and variables of the MDN-RNN class.vtt
16 kB
9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.mp4
77 MB
9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.vtt
11 kB
9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.mp4
127 MB
9. Step 8 - Implementing the MDN-RNN/4. Building the RNN - Creating an LSTM cell with Dropout.vtt
19 kB
9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4
131 MB
9. Step 8 - Implementing the MDN-RNN/5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt
18 kB
9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.mp4
126 MB
9. Step 8 - Implementing the MDN-RNN/6. Building the RNN - Getting the Deterministic Output of the RNN.vtt
14 kB
9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4
147 MB
9. Step 8 - Implementing the MDN-RNN/7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt
15 kB
9. Step 8 - Implementing the MDN-RNN/8. Building the MDN - Getting the MDN parameters.mp4
110 MB
9. Step 8 - Implementing the MDN-RNN/8. Building the MDN - Getting the MDN parameters.vtt
13 kB
9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).mp4
178 MB
9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).vtt
18 kB
[DesireCourse.Com].txt
754 B
[DesireCourse.Com].url
51 B