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1. The Whole Implementation.mp4
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MP4
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191.6 MB
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1. The Whole Implementation.vtt
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VTT
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25.7 KB
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1. Updates on Udemy Reviews.mp4
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MP4
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46 MB
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1. Updates on Udemy Reviews.vtt
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VTT
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3.1 KB
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1. Welcome to Step 1 - Artificial Neural Network.html
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HTML
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614.4 B
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1. Welcome to Step 10 - Deep NeuroEvolution.html
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HTML
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1.2 KB
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1. Welcome to Step 2 - Convolutional Neural Network.html
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HTML
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409.6 B
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1. Welcome to Step 3 - AutoEncoder.html
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HTML
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409.6 B
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1. Welcome to Step 4 - Variational AutoEncoder.html
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HTML
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409.6 B
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1. Welcome to Step 5 - Implementing the CNN-VAE.html
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HTML
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2.3 KB
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1. Welcome to Step 6 - Recurrent Neural Network.html
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HTML
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512 B
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1. Welcome to Step 7 - Mixture Density Network.html
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HTML
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512 B
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1. Welcome to Step 8 - Implementing the MDN-RNN.html
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HTML
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2.8 KB
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1. Welcome to Step 9 - Reinforcement Learning.html
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HTML
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409.6 B
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10. Implementing the Training operations (Part 2).mp4
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MP4
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162.9 MB
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10. Implementing the Training operations (Part 2).vtt
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VTT
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17.2 KB
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10. Softmax & Cross-Entropy.mp4
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MP4
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118 MB
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10. Softmax & Cross-Entropy.vtt
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VTT
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23 KB
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10. Stacked AutoEncoders.mp4
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MP4
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16.4 MB
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10. Stacked AutoEncoders.vtt
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VTT
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14.4 MB
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11. Deep AutoEncoders.mp4
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MP4
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12 MB
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11. Deep AutoEncoders.vtt
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VTT
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2.5 KB
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11. Full Code Section.html
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HTML
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10.8 KB
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12. The Keras Implementation.html
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HTML
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5.3 KB
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2. Deep NeuroEvolution.mp4
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MP4
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108.8 MB
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2. Deep NeuroEvolution.vtt
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VTT
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13.8 KB
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2. Download the whole AI Masterclass folder here.html
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HTML
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1 KB
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2. Initializing all the parameters and variables of the MDN-RNN class.mp4
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MP4
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99.5 MB
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2. Initializing all the parameters and variables of the MDN-RNN class.vtt
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VTT
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16.4 KB
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2. Introduction + Course Structure + Demo.mp4
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MP4
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156.8 MB
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2. Introduction + Course Structure + Demo.vtt
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VTT
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19.9 KB
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2. Introduction to Step 5.mp4
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MP4
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58.9 MB
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2. Introduction to Step 5.vtt
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VTT
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9.8 KB
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2. Introduction to the MDN-RNN.mp4
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MP4
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83.4 MB
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2. Introduction to the MDN-RNN.vtt
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VTT
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83.4 MB
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2. Introduction to the VAE.mp4
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MP4
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103.7 MB
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2. Introduction to the VAE.vtt
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VTT
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10 KB
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2. Plan of Attack.mp4
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MP4
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10.5 MB
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2. Plan of Attack.vtt
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VTT
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3.1 KB
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2. What is Reinforcement Learning.mp4
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MP4
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68.6 MB
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2. What is Reinforcement Learning.vtt
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VTT
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16.1 KB
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2.1 AI_Masterclass.zip.zip
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ZIP
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17.1 MB
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3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4
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MP4
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154.3 MB
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3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt
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VTT
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24.5 KB
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3. Building the RNN - Gathering the parameters.mp4
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MP4
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76.6 MB
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3. Building the RNN - Gathering the parameters.vtt
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VTT
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55.3 MB
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3. Evolution Strategies.mp4
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MP4
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119.4 MB
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3. Evolution Strategies.vtt
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VTT
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11.9 KB
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3. Initializing all the parameters and variables of the CNN-VAE class.mp4
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MP4
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71.7 MB
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3. Initializing all the parameters and variables of the CNN-VAE class.vtt
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VTT
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15.5 KB
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3. Installing the required packages.mp4
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MP4
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158.7 MB
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3. Installing the required packages.vtt
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VTT
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15.1 KB
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3. Mixture Density Networks.mp4
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MP4
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65.4 MB
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3. Mixture Density Networks.vtt
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VTT
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12.4 KB
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3. The Neuron.mp4
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MP4
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98.8 MB
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3. The Neuron.vtt
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VTT
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22 KB
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3. Variational AutoEncoders.mp4
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MP4
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26.3 MB
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3. Variational AutoEncoders.vtt
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VTT
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5.7 KB
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3. What are AutoEncoders.mp4
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MP4
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94.6 MB
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3. What are AutoEncoders.vtt
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VTT
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14.6 KB
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3. What are Convolutional Neural Networks.mp4
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MP4
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108 MB
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3. What are Convolutional Neural Networks.vtt
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VTT
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19.9 KB
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3. What are Recurrent Neural Networks.mp4
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MP4
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121.1 MB
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3. What are Recurrent Neural Networks.vtt
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VTT
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21.4 KB
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3. Your Three Best Resources.mp4
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MP4
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143.3 MB
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3. Your Three Best Resources.vtt
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VTT
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12.2 KB
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4. A Note on Biases.mp4
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MP4
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8.6 MB
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4. A Note on Biases.vtt
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VTT
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1.9 KB
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4. Building the Encoder part of the VAE.mp4
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MP4
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133.7 MB
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4. Building the Encoder part of the VAE.vtt
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VTT
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23.6 KB
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4. Building the RNN - Creating an LSTM cell with Dropout.mp4
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MP4
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127.2 MB
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4. Building the RNN - Creating an LSTM cell with Dropout.vtt
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VTT
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19.8 KB
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4. Download the Resources here.html
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HTML
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3 KB
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4. Full Code Section.html
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HTML
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409.6 B
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4. Genetic Algorithms.mp4
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MP4
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149.1 MB
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4. Genetic Algorithms.vtt
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VTT
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15.4 KB
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4. Reparameterization Trick.mp4
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MP4
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26.4 MB
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4. Reparameterization Trick.vtt
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VTT
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6.2 KB
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4. Step 1 - The Convolution Operation.mp4
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MP4
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97.9 MB
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4. Step 1 - The Convolution Operation.vtt
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VTT
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21.5 KB
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4. The Activation Function.mp4
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MP4
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45.4 MB
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4. The Activation Function.vtt
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VTT
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10.5 KB
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4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4
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MP4
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125.1 MB
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4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt
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VTT
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14 KB
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4. The Vanishing Gradient Problem.mp4
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MP4
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111.2 MB
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4. The Vanishing Gradient Problem.vtt
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VTT
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18.6 KB
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4. VAE + MDN-RNN Visualization.mp4
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MP4
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45.3 MB
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4. VAE + MDN-RNN Visualization.vtt
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VTT
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6.9 KB
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5. Building the RNN - Setting up the Input, Target, and Output of the RNN.mp4
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MP4
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131.1 MB
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5. Building the RNN - Setting up the Input, Target, and Output of the RNN.vtt
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VTT
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17.9 KB
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5. Building the V part of the VAE.mp4
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MP4
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80.3 MB
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5. Building the V part of the VAE.vtt
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VTT
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12.4 KB
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5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4
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MP4
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144.1 MB
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5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt
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VTT
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15.8 KB
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5. How do Neural Networks work.mp4
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MP4
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81.9 MB
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5. How do Neural Networks work.vtt
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VTT
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17.3 KB
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5. LSTMs.mp4
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MP4
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136.5 MB
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5. LSTMs.vtt
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VTT
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25.1 KB
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5. Meet your instructors!.html
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HTML
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716.8 B
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5. Step 1 Bis - The ReLU Layer.mp4
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MP4
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53.4 MB
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5. Step 1 Bis - The ReLU Layer.vtt
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VTT
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8.5 KB
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5. Training an AutoEncoder.mp4
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MP4
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50.3 MB
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5. Training an AutoEncoder.vtt
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VTT
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8.6 KB
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6. Building the Decoder part of the VAE.mp4
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MP4
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92.9 MB
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6. Building the Decoder part of the VAE.vtt
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VTT
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11.9 KB
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6. Building the RNN - Getting the Deterministic Output of the RNN.mp4
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MP4
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125.5 MB
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6. Building the RNN - Getting the Deterministic Output of the RNN.vtt
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VTT
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15 KB
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6. How do Neural Networks learn.mp4
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MP4
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112.1 MB
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6. How do Neural Networks learn.vtt
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VTT
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17 KB
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6. LSTM Practical Intuition.mp4
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MP4
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187.4 MB
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6. LSTM Practical Intuition.vtt
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VTT
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18.6 KB
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6. Overcomplete Hidden Layers.mp4
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MP4
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28.1 MB
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6. Overcomplete Hidden Layers.vtt
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VTT
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5 KB
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6. Parameter-Exploring Policy Gradients (PEPG).mp4
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MP4
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143.9 MB
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6. Parameter-Exploring Policy Gradients (PEPG).vtt
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VTT
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15.1 KB
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6. Step 2 - Pooling.mp4
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MP4
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140.2 MB
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6. Step 2 - Pooling.vtt
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VTT
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19.1 KB
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7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.mp4
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MP4
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147 MB
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7. Building the MDN - Getting the Input, Hidden Layer and Output of the MDN.vtt
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VTT
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15 KB
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7. Gradient Descent.mp4
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MP4
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60.6 MB
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7. Gradient Descent.vtt
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VTT
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12.7 KB
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7. Implementing the Training operations.mp4
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MP4
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187 MB
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7. Implementing the Training operations.vtt
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VTT
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21.2 KB
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7. LSTM Variations.mp4
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MP4
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20.1 MB
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7. LSTM Variations.vtt
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VTT
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4.4 KB
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7. OpenAI Evolution Strategy.mp4
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MP4
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108.1 MB
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7. OpenAI Evolution Strategy.vtt
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VTT
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9.7 KB
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7. Sparse AutoEncoders.mp4
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MP4
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57.5 MB
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7. Sparse AutoEncoders.vtt
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VTT
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8.2 KB
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7. Step 3 - Flattening.mp4
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MP4
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7.9 MB
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7. Step 3 - Flattening.vtt
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VTT
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2.3 KB
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8. Building the MDN - Getting the MDN parameters.mp4
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MP4
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109.5 MB
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8. Building the MDN - Getting the MDN parameters.vtt
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VTT
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13.2 KB
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8. Denoising AutoEncoders.mp4
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MP4
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24.1 MB
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8. Denoising AutoEncoders.vtt
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VTT
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3.2 KB
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8. Full Code Section.html
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HTML
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4 KB
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8. Step 4 - Full Connection.mp4
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MP4
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194.3 MB
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8. Step 4 - Full Connection.vtt
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VTT
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26.1 KB
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8. Stochastic Gradient Descent.mp4
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MP4
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67.3 MB
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8. Stochastic Gradient Descent.vtt
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VTT
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11.2 KB
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9. Backpropagation.mp4
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MP4
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43.1 MB
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9. Backpropagation.vtt
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VTT
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6.7 KB
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9. Contractive AutoEncoders.mp4
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MP4
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20.6 MB
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9. Contractive AutoEncoders.vtt
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VTT
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3.3 KB
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9. Implementing the Training operations (Part 1).mp4
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MP4
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177.5 MB
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9. Implementing the Training operations (Part 1).vtt
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VTT
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18.3 KB
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9. Summary.mp4
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MP4
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30.3 MB
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9. Summary.vtt
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VTT
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5.7 KB
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9. The Keras Implementation.html
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HTML
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7.7 KB
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READ_ME.txt
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TXT
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409.6 B
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