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[FreeCourseSite com] Udemy - Artificial Intelligence Masterclass

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Name:[FreeCourseSite com] Udemy - Artificial Intelligence Masterclass

Infohash: 6B7678D03113B9CE29EE3CA1E8846987CD13E4DE

Total Size: 6.17 GB

Seeds: 1

Leechers: 0

Stream: Watch Full Movie @ Movie4u

Last Updated: 2024-10-27 02:12:45 (Update Now)

Torrent added: 2019-03-30 06:30:24






Torrent Files List


1. Introduction (Size: 6.17 GB) (Files: 158)

 1. Introduction

  1. Updates on Udemy Reviews.mp4

46.04 MB

  1. Updates on Udemy Reviews.vtt

3.05 KB

  2. Introduction + Course Structure + Demo.mp4

156.76 MB

  2. Introduction + Course Structure + Demo.vtt

19.92 KB

  3. Your Three Best Resources.mp4

143.26 MB

  3. Your Three Best Resources.vtt

12.23 KB

  4. Download the Resources here.html

3.04 KB

  5. Meet your instructors!.html

0.71 KB

 10. Step 9 - Reinforcement Learning

  1. Welcome to Step 9 - Reinforcement Learning.html

0.41 KB

  2. What is Reinforcement Learning.mp4

68.60 MB

  2. What is Reinforcement Learning.vtt

16.10 KB

  3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4

154.25 MB

  3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt

24.55 KB

  4. Full Code Section.html

0.38 KB

 11. Step 10 - Deep NeuroEvolution

  1. Welcome to Step 10 - Deep NeuroEvolution.html

1.22 KB

  2. Deep NeuroEvolution.mp4

108.84 MB

  2. Deep NeuroEvolution.vtt

13.84 KB

  3. Evolution Strategies.mp4

119.43 MB

  3. Evolution Strategies.vtt

11.88 KB

  4. Genetic Algorithms.mp4

149.11 MB

  4. Genetic Algorithms.vtt

15.43 KB

  5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4

144.07 MB

  5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt

15.76 KB

  6. Parameter-Exploring Policy Gradients (PEPG).mp4

143.91 MB

  6. Parameter-Exploring Policy Gradients (PEPG).vtt

15.06 KB

  7. OpenAI Evolution Strategy.mp4

108.10 MB

  7. OpenAI Evolution Strategy.vtt

9.74 KB

 12. The Final Run

  1. The Whole Implementation.mp4

191.62 MB

  1. The Whole Implementation.vtt

25.70 KB

  2. Download the whole AI Masterclass folder here.html

1.02 KB

  2.1 AI_Masterclass.zip.zip

17.06 MB

  3. Installing the required packages.mp4

158.71 MB

  3. Installing the required packages.vtt

15.06 KB

  4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4

125.10 MB

  4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt

14.03 KB

 2. Step 1 - Artificial Neural Network

  1. Welcome to Step 1 - Artificial Neural Network.html

0.59 KB

  2. Plan of Attack.mp4

11.87 MB

  2. Plan of Attack.vtt

3.47 KB

  3. The Neuron.mp4

98.79 MB

  3. The Neuron.vtt

21.98 KB

  4. The Activation Function.mp4

45.36 MB

  4. The Activation Function.vtt

10.53 KB

  5. How do Neural Networks work.mp4

81.95 MB

  5. How do Neural Networks work.vtt

17.31 KB

  6. How do Neural Networks learn.mp4

112.12 MB

  6. How do Neural Networks learn.vtt

17.02 KB

  7. Gradient Descent.mp4

60.63 MB

  7. Gradient Descent.vtt

12.67 KB

  8. Stochastic Gradient Descent.mp4

67.30 MB

  8. Stochastic Gradient Descent.vtt

11.24 KB

  9. Backpropagation.mp4

43.14 MB

  9. Backpropagation.vtt

6.73 KB

 3. Step 2 - Convolutional Neural Network

  1. Welcome to Step 2 - Convolutional Neural Network.html

0.42 KB

  10. Softmax & Cross-Entropy.mp4

117.97 MB

  10. Softmax & Cross-Entropy.vtt

23.04 KB

  2. Plan of Attack.mp4

15.82 MB

  2. Plan of Attack.vtt

4.80 KB

  3. What are Convolutional Neural Networks.mp4

107.98 MB

  3. What are Convolutional Neural Networks.vtt

19.87 KB

  4. Step 1 - The Convolution Operation.mp4

97.94 MB

  4. Step 1 - The Convolution Operation.vtt

21.45 KB

  5. Step 1 Bis - The ReLU Layer.mp4

53.45 MB

  5. Step 1 Bis - The ReLU Layer.vtt

8.45 KB

  6. Step 2 - Pooling.mp4

140.18 MB

  6. Step 2 - Pooling.vtt

19.09 KB

  7. Step 3 - Flattening.mp4

7.95 MB

  7. Step 3 - Flattening.vtt

2.33 KB

  8. Step 4 - Full Connection.mp4

194.27 MB

  8. Step 4 - Full Connection.vtt

26.11 KB

  9. Summary.mp4

30.33 MB

  9. Summary.vtt

5.68 KB

 4. Step 3 - AutoEncoder

  1. Welcome to Step 3 - AutoEncoder.html

0.41 KB

  10. Stacked AutoEncoders.mp4

16.45 MB

  10. Stacked AutoEncoders.vtt

14.39 MB

  11. Deep AutoEncoders.mp4

11.96 MB

  11. Deep AutoEncoders.vtt

2.49 KB

  2. Plan of Attack.mp4

11.85 MB

  2. Plan of Attack.vtt

2.84 KB

  3. What are AutoEncoders.mp4

94.62 MB

  3. What are AutoEncoders.vtt

14.56 KB

  4. A Note on Biases.mp4

8.62 MB

  4. A Note on Biases.vtt

1.92 KB

  5. Training an AutoEncoder.mp4

50.31 MB

  5. Training an AutoEncoder.vtt

8.65 KB

  6. Overcomplete Hidden Layers.mp4

28.07 MB

  6. Overcomplete Hidden Layers.vtt

4.98 KB

  7. Sparse AutoEncoders.mp4

57.46 MB

  7. Sparse AutoEncoders.vtt

8.16 KB

  8. Denoising AutoEncoders.mp4

24.11 MB

  8. Denoising AutoEncoders.vtt

3.19 KB

  9. Contractive AutoEncoders.mp4

20.56 MB

  9. Contractive AutoEncoders.vtt

3.29 KB

 5. Step 4 - Variational AutoEncoder

  1. Welcome to Step 4 - Variational AutoEncoder.html

0.41 KB

  2. Introduction to the VAE.mp4

103.69 MB

  2. Introduction to the VAE.vtt

10.00 KB

  3. Variational AutoEncoders.mp4

26.32 MB

  3. Variational AutoEncoders.vtt

5.71 KB

  4. Reparameterization Trick.mp4

26.41 MB

  4. Reparameterization Trick.vtt

6.16 KB

 6. Step 5 - Implementing the CNN-VAE

  1. Welcome to Step 5 - Implementing the CNN-VAE.html

2.30 KB

  2. Introduction to Step 5.mp4

58.86 MB

  2. Introduction to Step 5.vtt

9.81 KB

  3. Initializing all the parameters and variables of the CNN-VAE class.mp4

71.72 MB

  3. Initializing all the parameters and variables of the CNN-VAE class.vtt

15.47 KB

  4. Building the Encoder part of the VAE.mp4

133.65 MB

  4. Building the Encoder part of the VAE.vtt

23.64 KB

  5. Building the V part of the VAE.mp4

80.34 MB

  5. Building the V part of the VAE.vtt

12.42 KB

  6. Building the Decoder part of the VAE.mp4

92.89 MB

  6. Building the Decoder part of the VAE.vtt

11.89 KB

  7. Implementing the Training operations.mp4

186.99 MB

  7. Implementing the Training operations.vtt

21.19 KB

  8. Full Code Section.html

3.96 KB

  9. The Keras Implementation.html

7.70 KB

 7. Step 6 - Recurrent Neural Network

  1. Welcome to Step 6 - Recurrent Neural Network.html

0.50 KB

  2. Plan of Attack.mp4

10.50 MB

  2. Plan of Attack.vtt

3.06 KB

  3. What are Recurrent Neural Networks.mp4

121.09 MB

  3. What are Recurrent Neural Networks.vtt

21.38 KB

  4. The Vanishing Gradient Problem.mp4

111.17 MB

  4. The Vanishing Gradient Problem.vtt

18.56 KB

  5. LSTMs.mp4

136.52 MB

  5. LSTMs.vtt

25.08 KB

  6. LSTM Practical Intuition.mp4

187.41 MB

  6. LSTM Practical Intuition.vtt

18.59 KB

  7. LSTM Variations.mp4

20.12 MB

  7. LSTM Variations.vtt

4.42 KB

 8. Step 7 - Mixture Density Network

  1. Welcome to Step 7 - Mixture Density Network.html

0.50 KB

  2. Introduction to the MDN-RNN.mp4

83.39 MB

  2. Introduction to the MDN-RNN.vtt

83.41 MB

  3. Mixture Density Networks.mp4

65.36 MB

  3. Mixture Density Networks.vtt

12.41 KB

  4. VAE + MDN-RNN Visualization.mp4

45.31 MB

  4. VAE + MDN-RNN Visualization.vtt

6.91 KB

 9. Step 8 - Implementing the MDN-RNN

  1. Welcome to Step 8 - Implementing the MDN-RNN.html

2.81 KB

  10. Implementing the Training operations (Part 2).mp4

162.89 MB

  10. Implementing the Training operations (Part 2).vtt

17.23 KB

  11. Full Code Section.html

10.80 KB

  12. The Keras Implementation.html

5.26 KB

  2. Initializing all the parameters and variables of the MDN-RNN class.mp4

99.50 MB

  2. Initializing all the parameters and variables of the MDN-RNN class.vtt

16.44 KB

  3. Building the RNN - Gathering the parameters.mp4

76.58 MB

  3. Building the RNN - Gathering the parameters.vtt

55.30 MB

  4. Building the RNN - Creating an LSTM cell with Dropout.mp4

127.16 MB

  4. Building the RNN - Creating an LSTM cell with Dropout.vtt

19.77 KB

  5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4

131.12 MB

  5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt

17.92 KB

  6. Building the RNN - Getting the Deterministic Output of the RNN.mp4

125.49 MB

  6. Building the RNN - Getting the Deterministic Output of the RNN.vtt

15.04 KB

  7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4

146.97 MB

  7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt

15.02 KB

  8. Building the MDN - Getting the MDN parameters.mp4

109.45 MB

  8. Building the MDN - Getting the MDN parameters.vtt

13.21 KB

  9. Implementing the Training operations (Part 1).mp4

177.45 MB

  9. Implementing the Training operations (Part 1).vtt

18.28 KB

 [CourseClub.NET].url

0.12 KB

 [FCS Forum].url

0.13 KB

 [FreeCourseSite.com].url

0.12 KB
 

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