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[FreeCourseSite.com] Udemy - Artificial Intelligence Masterclass

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Number of Files:

158

Content Size:

6.17GB

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2020-08-03

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FreeCourseSite com Udemy Artificial Intelligence Masterclass

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File Name

Size

1. Introduction/1. Updates on Udemy Reviews.mp4

46.04MB

1. Introduction/1. Updates on Udemy Reviews.vtt

3.05KB

1. Introduction/2. Introduction + Course Structure + Demo.mp4

156.76MB

1. Introduction/2. Introduction + Course Structure + Demo.vtt

19.92KB

1. Introduction/3. Your Three Best Resources.mp4

143.26MB

1. Introduction/3. Your Three Best Resources.vtt

12.23KB

1. Introduction/4. Download the Resources here.html

3.04KB

1. Introduction/5. Meet your instructors!.html

723B

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

10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.vtt

16.1KB

10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4

154.25MB

10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt

24.55KB

10. Step 9 - Reinforcement Learning/4. Full Code Section.html

393B

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

11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.vtt

13.84KB

11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.mp4

119.43MB

11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.vtt

11.88KB

11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.mp4

149.11MB

11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.vtt

15.43KB

11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4

144.07MB

11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt

15.76KB

11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).mp4

143.91MB

11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).vtt

15.06KB

11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.mp4

108.1MB

11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.vtt

9.74KB

12. The Final Run/1. The Whole Implementation.mp4

191.62MB

12. The Final Run/1. The Whole Implementation.vtt

25.7KB

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

17.06MB

12. The Final Run/3. Installing the required packages.mp4

158.71MB

12. The Final Run/3. Installing the required packages.vtt

15.06KB

12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4

125.1MB

12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt

14.03KB

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

11.87MB

2. Step 1 - Artificial Neural Network/2. Plan of Attack.vtt

3.47KB

2. Step 1 - Artificial Neural Network/3. The Neuron.mp4

98.79MB

2. Step 1 - Artificial Neural Network/3. The Neuron.vtt

21.98KB

2. Step 1 - Artificial Neural Network/4. The Activation Function.mp4

45.36MB

2. Step 1 - Artificial Neural Network/4. The Activation Function.vtt

10.53KB

2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.mp4

81.95MB

2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.vtt

17.31KB

2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.mp4

112.12MB

2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.vtt

17.02KB

2. Step 1 - Artificial Neural Network/7. Gradient Descent.mp4

60.63MB

2. Step 1 - Artificial Neural Network/7. Gradient Descent.vtt

12.67KB

2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.mp4

67.3MB

2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.vtt

11.24KB

2. Step 1 - Artificial Neural Network/9. Backpropagation.mp4

43.14MB

2. Step 1 - Artificial Neural Network/9. Backpropagation.vtt

6.73KB

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

430B

3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.mp4

117.97MB

3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.vtt

23.04KB

3. Step 2 - Convolutional Neural Network/2. Plan of Attack.mp4

15.82MB

3. Step 2 - Convolutional Neural Network/2. Plan of Attack.vtt

4.8KB

3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.mp4

107.98MB

3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.vtt

19.87KB

3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.mp4

97.94MB

3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.vtt

21.45KB

3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.mp4

53.45MB

3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.vtt

8.45KB

3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.mp4

140.18MB

3. Step 2 - Convolutional Neural Network/6. Step 2 - Pooling.vtt

19.09KB

3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.mp4

7.95MB

3. Step 2 - Convolutional Neural Network/7. Step 3 - Flattening.vtt

2.33KB

3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.mp4

194.27MB

3. Step 2 - Convolutional Neural Network/8. Step 4 - Full Connection.vtt

26.11KB

3. Step 2 - Convolutional Neural Network/9. Summary.mp4

30.33MB

3. Step 2 - Convolutional Neural Network/9. Summary.vtt

5.68KB

4. Step 3 - AutoEncoder/1. Welcome to Step 3 - AutoEncoder.html

418B

4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.mp4

16.45MB

4. Step 3 - AutoEncoder/10. Stacked AutoEncoders.vtt

14.39MB

4. Step 3 - AutoEncoder/11. Deep AutoEncoders.mp4

11.96MB

4. Step 3 - AutoEncoder/11. Deep AutoEncoders.vtt

2.49KB

4. Step 3 - AutoEncoder/2. Plan of Attack.mp4

11.85MB

4. Step 3 - AutoEncoder/2. Plan of Attack.vtt

2.84KB

4. Step 3 - AutoEncoder/3. What are AutoEncoders.mp4

94.62MB

4. Step 3 - AutoEncoder/3. What are AutoEncoders.vtt

14.56KB

4. Step 3 - AutoEncoder/4. A Note on Biases.mp4

8.62MB

4. Step 3 - AutoEncoder/4. A Note on Biases.vtt

1.92KB

4. Step 3 - AutoEncoder/5. Training an AutoEncoder.mp4

50.31MB

4. Step 3 - AutoEncoder/5. Training an AutoEncoder.vtt

8.65KB

4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.mp4

28.07MB

4. Step 3 - AutoEncoder/6. Overcomplete Hidden Layers.vtt

4.98KB

4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.mp4

57.46MB

4. Step 3 - AutoEncoder/7. Sparse AutoEncoders.vtt

8.16KB

4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.mp4

24.11MB

4. Step 3 - AutoEncoder/8. Denoising AutoEncoders.vtt

3.19KB

4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.mp4

20.56MB

4. Step 3 - AutoEncoder/9. Contractive AutoEncoders.vtt

3.29KB

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

103.69MB

5. Step 4 - Variational AutoEncoder/2. Introduction to the VAE.vtt

10KB

5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.mp4

26.32MB

5. Step 4 - Variational AutoEncoder/3. Variational AutoEncoders.vtt

5.71KB

5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.mp4

26.41MB

5. Step 4 - Variational AutoEncoder/4. Reparameterization Trick.vtt

6.16KB

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

58.86MB

6. Step 5 - Implementing the CNN-VAE/2. Introduction to Step 5.vtt

9.81KB

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

15.47KB

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/4. Building the Encoder part of the VAE.vtt

23.64KB

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/5. Building the V part of the VAE.vtt

12.42KB

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/6. Building the Decoder part of the VAE.vtt

11.89KB

6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.mp4

186.99MB

6. Step 5 - Implementing the CNN-VAE/7. Implementing the Training operations.vtt

21.19KB

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

7. Step 6 - Recurrent Neural Network/2. Plan of Attack.vtt

3.06KB

7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.mp4

121.09MB

7. Step 6 - Recurrent Neural Network/3. What are Recurrent Neural Networks.vtt

21.38KB

7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.mp4

111.17MB

7. Step 6 - Recurrent Neural Network/4. The Vanishing Gradient Problem.vtt

18.56KB

7. Step 6 - Recurrent Neural Network/5. LSTMs.mp4

136.52MB

7. Step 6 - Recurrent Neural Network/5. LSTMs.vtt

25.08KB

7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.mp4

187.41MB

7. Step 6 - Recurrent Neural Network/6. LSTM Practical Intuition.vtt

18.59KB

7. Step 6 - Recurrent Neural Network/7. LSTM Variations.mp4

20.12MB

7. Step 6 - Recurrent Neural Network/7. LSTM Variations.vtt

4.42KB

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

8. Step 7 - Mixture Density Network/2. Introduction to the MDN-RNN.vtt

83.41MB

8. Step 7 - Mixture Density Network/3. Mixture Density Networks.mp4

65.36MB

8. Step 7 - Mixture Density Network/3. Mixture Density Networks.vtt

12.41KB

8. Step 7 - Mixture Density Network/4. VAE + MDN-RNN Visualization.mp4

45.31MB

8. Step 7 - Mixture Density Network/4. VAE + MDN-RNN Visualization.vtt

6.91KB

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

162.89MB

9. Step 8 - Implementing the MDN-RNN/10. Implementing the Training operations (Part 2).vtt

17.23KB

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

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

16.44KB

9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.mp4

76.58MB

9. Step 8 - Implementing the MDN-RNN/3. Building the RNN - Gathering the parameters.vtt

55.3MB

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

19.77KB

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

17.92KB

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

15.04KB

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

15.02KB

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

13.21KB

9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).mp4

177.45MB

9. Step 8 - Implementing the MDN-RNN/9. Implementing the Training operations (Part 1).vtt

18.28KB

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