Udemy | Artificial Intelligence Masterclass [FTU]

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Udemy | Artificial Intelligence Masterclass [FTU]

Torrent Contents Size: 6.1 GB

Udemy | Artificial Intelligence Masterclass [FTU]
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1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url
URL
307.2 B
1. The Whole Implementation.mp4
MP4
273.7 MB
1. The Whole Implementation.srt
SRT
28.3 KB
1. The Whole Implementation.vtt
VTT
24.9 KB
1. Updates on Udemy Reviews.mp4
MP4
22 MB
1. Updates on Udemy Reviews.srt
SRT
3.5 KB
1. Updates on Udemy Reviews.vtt
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3 KB
1. Welcome to Step 1 - Artificial Neural Network.html
HTML
614.4 B
1. Welcome to Step 10 - Deep NeuroEvolution.html
HTML
1.2 KB
1. Welcome to Step 2 - Convolutional Neural Network.html
HTML
409.6 B
1. Welcome to Step 3 - AutoEncoder.html
HTML
409.6 B
1. Welcome to Step 4 - Variational AutoEncoder.html
HTML
409.6 B
1. Welcome to Step 5 - Implementing the CNN-VAE.html
HTML
2.3 KB
1. Welcome to Step 6 - Recurrent Neural Network.html
HTML
512 B
1. Welcome to Step 7 - Mixture Density Network.html
HTML
512 B
1. Welcome to Step 8 - Implementing the MDN-RNN.html
HTML
2.8 KB
1. Welcome to Step 9 - Reinforcement Learning.html
HTML
409.6 B
1. YOUR SPECIAL BONUS.html
HTML
1.1 KB
10. Implementing the Training operations (Part 2).mp4
MP4
162.9 MB
10. Implementing the Training operations (Part 2).srt
SRT
18.9 KB
10. Implementing the Training operations (Part 2).vtt
VTT
16.4 KB
10. Softmax & Cross-Entropy.mp4
MP4
118 MB
10. Softmax & Cross-Entropy.srt
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10. Softmax & Cross-Entropy.vtt
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10. Stacked AutoEncoders.mp4
MP4
16.4 MB
10. Stacked AutoEncoders.srt
SRT
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10. Stacked AutoEncoders.vtt
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2.1 KB
11. Deep AutoEncoders.mp4
MP4
12 MB
11. Deep AutoEncoders.srt
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11. Deep AutoEncoders.vtt
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2.4 KB
11. Full Code Section.html
HTML
10.8 KB
12. The Keras Implementation.html
HTML
5.3 KB
2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url
URL
307.2 B
2. Deep NeuroEvolution.mp4
MP4
108.8 MB
2. Deep NeuroEvolution.srt
SRT
15.1 KB
2. Deep NeuroEvolution.vtt
VTT
13.3 KB
2. Download the whole AI Masterclass folder here.html
HTML
1 KB
2. Initializing all the parameters and variables of the MDN-RNN class.mp4
MP4
99.5 MB
2. Initializing all the parameters and variables of the MDN-RNN class.srt
SRT
18 KB
2. Initializing all the parameters and variables of the MDN-RNN class.vtt
VTT
15.8 KB
2. Introduction + Course Structure + Demo.mp4
MP4
195.3 MB
2. Introduction + Course Structure + Demo.srt
SRT
21.9 KB
2. Introduction + Course Structure + Demo.vtt
VTT
19.2 KB
2. Introduction to Step 5.mp4
MP4
58.8 MB
2. Introduction to Step 5.srt
SRT
10.8 KB
2. Introduction to Step 5.vtt
VTT
9.4 KB
2. Introduction to the MDN-RNN.mp4
MP4
83.4 MB
2. Introduction to the MDN-RNN.srt
SRT
12.7 KB
2. Introduction to the MDN-RNN.vtt
VTT
11.2 KB
2. Introduction to the VAE.mp4
MP4
72.8 MB
2. Introduction to the VAE.srt
SRT
11 KB
2. Introduction to the VAE.vtt
VTT
9.7 KB
2. Plan of Attack.mp4
MP4
10.5 MB
2. Plan of Attack.srt
SRT
3.4 KB
2. Plan of Attack.vtt
VTT
3.1 KB
2. What is Reinforcement Learning.mp4
MP4
68.6 MB
2. What is Reinforcement Learning.srt
SRT
18.1 KB
2. What is Reinforcement Learning.vtt
VTT
16 KB
2.1 AI Masterclass.zip.zip
ZIP
17.1 MB
3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url
URL
204.8 B
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4
MP4
154.3 MB
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.srt
SRT
27 KB
3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt
VTT
23.5 KB
3. BONUS Learning Paths.html
HTML
2.4 KB
3. Building the RNN - Gathering the parameters.mp4
MP4
76.6 MB
3. Building the RNN - Gathering the parameters.srt
SRT
12.9 KB
3. Building the RNN - Gathering the parameters.vtt
VTT
11.3 KB
3. Evolution Strategies.mp4
MP4
119.4 MB
3. Evolution Strategies.srt
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13 KB
3. Evolution Strategies.vtt
VTT
11.4 KB
3. Initializing all the parameters and variables of the CNN-VAE class.mp4
MP4
71.7 MB
3. Initializing all the parameters and variables of the CNN-VAE class.srt
SRT
17 KB
3. Initializing all the parameters and variables of the CNN-VAE class.vtt
VTT
14.9 KB
3. Installing the required packages.mp4
MP4
158.7 MB
3. Installing the required packages.srt
SRT
17.5 KB
3. Installing the required packages.vtt
VTT
15 KB
3. Mixture Density Networks.mp4
MP4
65.4 MB
3. Mixture Density Networks.srt
SRT
13.5 KB
3. Mixture Density Networks.vtt
VTT
12 KB
3. The Neuron.mp4
MP4
98.8 MB
3. The Neuron.srt
SRT
24.7 KB
3. The Neuron.vtt
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21.6 KB
3. Variational AutoEncoders.mp4
MP4
26.3 MB
3. Variational AutoEncoders.srt
SRT
6.1 KB
3. Variational AutoEncoders.vtt
VTT
5.4 KB
3. What are AutoEncoders.mp4
MP4
94.6 MB
3. What are AutoEncoders.srt
SRT
16.3 KB
3. What are AutoEncoders.vtt
VTT
14.3 KB
3. What are Convolutional Neural Networks.mp4
MP4
108 MB
3. What are Convolutional Neural Networks.srt
SRT
22.2 KB
3. What are Convolutional Neural Networks.vtt
VTT
19.4 KB
3. What are Recurrent Neural Networks.mp4
MP4
121.1 MB
3. What are Recurrent Neural Networks.srt
SRT
23.8 KB
3. What are Recurrent Neural Networks.vtt
VTT
20.8 KB
4. (FTUApps.com) Download Cracked Developers Applications For Free.url
URL
204.8 B
4. A Note on Biases.mp4
MP4
8.6 MB
4. A Note on Biases.srt
SRT
2.1 KB
4. A Note on Biases.vtt
VTT
1.8 KB
4. Building the Encoder part of the VAE.mp4
MP4
133.6 MB
4. Building the Encoder part of the VAE.srt
SRT
26.2 KB
4. Building the Encoder part of the VAE.vtt
VTT
22.8 KB
4. Building the RNN - Creating an LSTM cell with Dropout.mp4
MP4
127.2 MB
4. Building the RNN - Creating an LSTM cell with Dropout.srt
SRT
21.8 KB
4. Building the RNN - Creating an LSTM cell with Dropout.vtt
VTT
19.2 KB
4. Full Code Section.html
HTML
409.6 B
4. Genetic Algorithms.mp4
MP4
149.1 MB
4. Genetic Algorithms.srt
SRT
17.7 KB
4. Genetic Algorithms.vtt
VTT
15.5 KB
4. Reparameterization Trick.mp4
MP4
26.4 MB
4. Reparameterization Trick.srt
SRT
6.6 KB
4. Reparameterization Trick.vtt
VTT
5.8 KB
4. Step 1 - The Convolution Operation.mp4
MP4
97.9 MB
4. Step 1 - The Convolution Operation.srt
SRT
23.3 KB
4. Step 1 - The Convolution Operation.vtt
VTT
20.4 KB
4. The Activation Function.mp4
MP4
45.4 MB
4. The Activation Function.srt
SRT
11.8 KB
4. The Activation Function.vtt
VTT
10.4 KB
4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4
MP4
125.1 MB
4. The Final Race Human Intelligence vs. Artificial Intelligence.srt
SRT
15.8 KB
4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt
VTT
13.5 KB
4. The Vanishing Gradient Problem.mp4
MP4
111.2 MB
4. The Vanishing Gradient Problem.srt
SRT
20.8 KB
4. The Vanishing Gradient Problem.vtt
VTT
18.3 KB
4. VAE + MDN-RNN Visualization.mp4
MP4
45.3 MB
4. VAE + MDN-RNN Visualization.srt
SRT
7.5 KB
4. VAE + MDN-RNN Visualization.vtt
VTT
6.6 KB
4. Your Three Best Resources.mp4
MP4
134.5 MB
4. Your Three Best Resources.srt
SRT
13.3 KB
4. Your Three Best Resources.vtt
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11.8 KB
5. (Discuss.FTUForum.com) FTU Discussion Forum.url
URL
307.2 B
5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4
MP4
131.1 MB
5. Building the RNN - Setting up the Input, Target, and Output of the RNN.srt
SRT
20 KB
5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt
VTT
17.7 KB
5. Building the V part of the VAE.mp4
MP4
80.3 MB
5. Building the V part of the VAE.srt
SRT
13.5 KB
5. Building the V part of the VAE.vtt
VTT
11.8 KB
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4
MP4
144.1 MB
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).srt
SRT
17.2 KB
5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt
VTT
15.2 KB
5. Download the Resources here.html
HTML
819.2 B
5. How do Neural Networks work.mp4
MP4
81.9 MB
5. How do Neural Networks work.srt
SRT
19.1 KB
5. How do Neural Networks work.vtt
VTT
16.8 KB
5. LSTMs.mp4
MP4
136.5 MB
5. LSTMs.srt
SRT
28.2 KB
5. LSTMs.vtt
VTT
24.6 KB
5. Step 1 Bis - The ReLU Layer.mp4
MP4
53.4 MB
5. Step 1 Bis - The ReLU Layer.srt
SRT
9.3 KB
5. Step 1 Bis - The ReLU Layer.vtt
VTT
8.2 KB
5. THANK YOU bonus video.mp4
MP4
29.2 MB
5. THANK YOU bonus video.srt
SRT
2.3 KB
5. THANK YOU bonus video.vtt
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2 KB
5. Training an AutoEncoder.mp4
MP4
50.3 MB
5. Training an AutoEncoder.srt
SRT
9.5 KB
5. Training an AutoEncoder.vtt
VTT
8.4 KB
6. Building the Decoder part of the VAE.mp4
MP4
92.9 MB
6. Building the Decoder part of the VAE.srt
SRT
13 KB
6. Building the Decoder part of the VAE.vtt
VTT
11.4 KB
6. Building the RNN - Getting the Deterministic Output of the RNN.mp4
MP4
125.5 MB
6. Building the RNN - Getting the Deterministic Output of the RNN.srt
SRT
16.4 KB
6. Building the RNN - Getting the Deterministic Output of the RNN.vtt
VTT
14.4 KB
6. How do Neural Networks learn.mp4
MP4
112.1 MB
6. How do Neural Networks learn.srt
SRT
19 KB
6. How do Neural Networks learn.vtt
VTT
16.5 KB
6. LSTM Practical Intuition.mp4
MP4
187.4 MB
6. LSTM Practical Intuition.srt
SRT
21 KB
6. LSTM Practical Intuition.vtt
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18.4 KB
6. Meet your instructors!.html
HTML
716.8 B
6. Overcomplete Hidden Layers.mp4
MP4
28.1 MB
6. Overcomplete Hidden Layers.srt
SRT
5.7 KB
6. Overcomplete Hidden Layers.vtt
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5 KB
6. Parameter-Exploring Policy Gradients (PEPG).mp4
MP4
143.9 MB
6. Parameter-Exploring Policy Gradients (PEPG).srt
SRT
16.4 KB
6. Parameter-Exploring Policy Gradients (PEPG).vtt
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14.5 KB
6. Step 2 - Pooling.mp4
MP4
140.2 MB
6. Step 2 - Pooling.srt
SRT
21 KB
6. Step 2 - Pooling.vtt
VTT
18.4 KB
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4
MP4
147 MB
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.srt
SRT
16.6 KB
7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt
VTT
14.7 KB
7. Gradient Descent.mp4
MP4
60.6 MB
7. Gradient Descent.srt
SRT
14.2 KB
7. Gradient Descent.vtt
VTT
12.3 KB
7. Implementing the Training operations.mp4
MP4
187 MB
7. Implementing the Training operations.srt
SRT
23.4 KB
7. Implementing the Training operations.vtt
VTT
20.4 KB
7. LSTM Variations.mp4
MP4
20.1 MB
7. LSTM Variations.srt
SRT
4.9 KB
7. LSTM Variations.vtt
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4.3 KB
7. OpenAI Evolution Strategy.mp4
MP4
108.1 MB
7. OpenAI Evolution Strategy.srt
SRT
10.4 KB
7. OpenAI Evolution Strategy.vtt
VTT
9.2 KB
7. Sparse AutoEncoders.mp4
MP4
57.5 MB
7. Sparse AutoEncoders.srt
SRT
8.8 KB
7. Sparse AutoEncoders.vtt
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7.8 KB
7. Step 3 - Flattening.mp4
MP4
7.9 MB
7. Step 3 - Flattening.srt
SRT
2.6 KB
7. Step 3 - Flattening.vtt
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2.3 KB
8. Building the MDN - Getting the MDN parameters.mp4
MP4
109.4 MB
8. Building the MDN - Getting the MDN parameters.srt
SRT
14.5 KB
8. Building the MDN - Getting the MDN parameters.vtt
VTT
12.8 KB
8. Denoising AutoEncoders.mp4
MP4
24.1 MB
8. Denoising AutoEncoders.srt
SRT
3.6 KB
8. Denoising AutoEncoders.vtt
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3.2 KB
8. Full Code Section.html
HTML
4 KB
8. Step 4 - Full Connection.mp4
MP4
194.3 MB
8. Step 4 - Full Connection.srt
SRT
28.5 KB
8. Step 4 - Full Connection.vtt
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25 KB
8. Stochastic Gradient Descent.mp4
MP4
67.3 MB
8. Stochastic Gradient Descent.srt
SRT
12.2 KB
8. Stochastic Gradient Descent.vtt
VTT
10.8 KB
9. Backpropagation.mp4
MP4
43.1 MB
9. Backpropagation.srt
SRT
7.3 KB
9. Backpropagation.vtt
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6.4 KB
9. Contractive AutoEncoders.mp4
MP4
20.5 MB
9. Contractive AutoEncoders.srt
SRT
3.6 KB
9. Contractive AutoEncoders.vtt
VTT
3.1 KB
9. Implementing the Training operations (Part 1).mp4
MP4
177.4 MB
9. Implementing the Training operations (Part 1).srt
SRT
20.5 KB
9. Implementing the Training operations (Part 1).vtt
VTT
17.8 KB
9. Summary.mp4
MP4
30.3 MB
9. Summary.srt
SRT
6.1 KB
9. Summary.vtt
VTT
5.4 KB
9. The Keras Implementation.html
HTML
7.7 KB
How you can help Team-FTU.txt
TXT
204.8 B

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