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001 Cycle GAN.mp4
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MP4
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32.7 MB
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001 Cycle GAN_en.vtt
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VTT
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2.2 KB
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001 Image-To-Image Translation.mp4
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MP4
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62.1 MB
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001 Image-To-Image Translation_en.vtt
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VTT
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3.6 KB
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001 Introduction.mp4
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MP4
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84.3 MB
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001 Introduction_en.vtt
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VTT
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6.4 KB
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001 MNIST using GAN.mp4
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MP4
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14.2 MB
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001 MNIST using GAN_en.vtt
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VTT
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1.5 KB
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001 Machine Learning.mp4
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MP4
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84.5 MB
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001 Machine Learning_en.vtt
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VTT
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6.4 KB
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001 Neural Networks.mp4
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MP4
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85.6 MB
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001 Neural Networks_en.vtt
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VTT
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6.4 KB
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001 What is Deep Learning.mp4
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MP4
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40.4 MB
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001 What is Deep Learning_en.vtt
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VTT
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2.4 KB
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001 What is a GAN.mp4
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MP4
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28.7 MB
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001 What is a GAN_en.vtt
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VTT
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2.3 KB
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002 Applications of Artificial Neural Networks.mp4
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MP4
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32.4 MB
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002 Applications of Artificial Neural Networks_en.vtt
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VTT
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2 KB
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002 Build and Test the Generator.mp4
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MP4
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36.4 MB
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002 Build and Test the Generator_en.vtt
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VTT
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2.2 KB
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002 Deep Learning Applications.mp4
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MP4
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42.9 MB
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002 Deep Learning Applications_en.vtt
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VTT
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2.3 KB
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002 GAN Applications.mp4
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MP4
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11.7 MB
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002 GAN Applications_en.vtt
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VTT
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819.2 B
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002 Initial Setup.mp4
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MP4
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91.7 MB
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002 Initial Setup_en.vtt
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VTT
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6.7 KB
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002 Supervised Learning.mp4
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MP4
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41 MB
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002 Supervised Learning_en.vtt
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VTT
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3.7 KB
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003 Build the Discriminator.mp4
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MP4
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22.1 MB
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003 Build the Discriminator_en.vtt
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VTT
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1.6 KB
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003 Deep Learning Algorithms and Architectures.mp4
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MP4
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12 MB
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003 Deep Learning Algorithms and Architectures_en.vtt
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VTT
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1 KB
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003 MMNIST Handwritten Digit Dataset.mp4
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MP4
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12.3 MB
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003 MMNIST Handwritten Digit Dataset_en.vtt
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VTT
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1 KB
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003 Single-Layer Neural Networks (Perceptron).mp4
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MP4
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19.2 MB
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003 Single-Layer Neural Networks (Perceptron)_en.vtt
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VTT
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1.3 KB
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003 Type of GANs.mp4
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MP4
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14.8 MB
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003 Type of GANs_en.vtt
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VTT
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716.8 B
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003 Unsupervised Learning.mp4
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MP4
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34.3 MB
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003 Unsupervised Learning_en.vtt
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VTT
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3.2 KB
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004 Convolutional Neural Networks (CNNs).mp4
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MP4
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48.9 MB
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004 Convolutional Neural Networks (CNNs)_en.vtt
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VTT
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4.4 KB
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004 DCGANs.mp4
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MP4
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30.2 MB
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004 DCGANs_en.vtt
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VTT
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2.7 KB
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004 Load and Prepare the Dataset.mp4
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MP4
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64.1 MB
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004 Load and Prepare the Dataset_en.vtt
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VTT
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5.4 KB
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004 Multi-Layer Neural Networks.mp4
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MP4
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39.3 MB
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004 Multi-Layer Neural Networks_en.vtt
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VTT
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2.6 KB
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004 Semi-Supervised Learning.mp4
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MP4
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23 MB
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004 Semi-Supervised Learning_en.vtt
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VTT
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2.7 KB
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004 Training and Generate Image.mp4
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MP4
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52.2 MB
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004 Training and Generate Image_en.vtt
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VTT
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2.1 KB
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005 Activation Functions.mp4
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MP4
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22.5 MB
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005 Activation Functions_en.vtt
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VTT
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1.9 KB
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005 Create the Models.mp4
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MP4
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77.7 MB
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005 Create the Models_en.vtt
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VTT
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6 KB
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005 Learning Methods Comparison.mp4
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MP4
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29.9 MB
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005 Learning Methods Comparison_en.vtt
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VTT
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2 KB
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005 Recurrent Neural Networks(RNNs).mp4
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MP4
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57.5 MB
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005 Recurrent Neural Networks(RNNs)_en.vtt
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VTT
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5.1 KB
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005 SGAN.mp4
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MP4
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14.7 MB
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005 SGAN_en.vtt
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VTT
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1.3 KB
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006 Conditional GAN.mp4
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MP4
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19.2 MB
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006 Conditional GAN_en.vtt
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VTT
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2 KB
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006 Define and Train the Model.mp4
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MP4
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14.9 MB
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006 Define and Train the Model_en.vtt
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VTT
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1.3 KB
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006 Long Short-Term Memory (LSTM).mp4
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MP4
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28.5 MB
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006 Long Short-Term Memory (LSTM)_en.vtt
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VTT
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3.6 KB
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006 Neural Network Example with Number.mp4
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MP4
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23.5 MB
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006 Neural Network Example with Number_en.vtt
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VTT
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1.5 KB
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006 Reinforcement Learning.mp4
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MP4
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39.7 MB
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006 Reinforcement Learning_en.vtt
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VTT
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3 KB
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007 Cycle GAN.mp4
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MP4
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26.2 MB
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007 Cycle GAN_en.vtt
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VTT
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1.8 KB
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007 Learning Example.mp4
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MP4
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31.9 MB
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007 Learning Example_en.vtt
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VTT
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2.3 KB
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007 Residual Neural Network Learning (ResNets).mp4
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MP4
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24.5 MB
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007 Residual Neural Network Learning (ResNets)_en.vtt
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VTT
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2.2 KB
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007 TensorFlow Practicing.mp4
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MP4
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293.4 MB
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007 TensorFlow Practicing_en.vtt
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VTT
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33.9 KB
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008 Classifying Images with Deep Convolutional Neural Networks.mp4
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MP4
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169.4 MB
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008 Classifying Images with Deep Convolutional Neural Networks_en.vtt
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VTT
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20.2 KB
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008 Design a Learning System.mp4
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MP4
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50 MB
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008 Design a Learning System_en.vtt
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VTT
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3.8 KB
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008 Simple Gan.mp4
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MP4
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96.5 MB
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008 Simple Gan_en.vtt
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VTT
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10.8 KB
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008 TensorFlow Practicing-MLP.mp4
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MP4
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188.8 MB
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008 TensorFlow Practicing-MLP_en.vtt
|
VTT
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23 KB
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009 DCGAN.mp4
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MP4
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53.6 MB
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009 DCGAN_en.vtt
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VTT
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5.5 KB
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009 Leaning Error Types.mp4
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MP4
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20.1 MB
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009 Leaning Error Types_en.vtt
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VTT
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1.4 KB
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009 Modeling Sequential Data Using Recurrent Neural Networks.mp4
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MP4
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105.4 MB
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009 Modeling Sequential Data Using Recurrent Neural Networks_en.vtt
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VTT
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14.3 KB
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010 Underfitting and Overfitting.mp4
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MP4
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13.6 MB
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010 Underfitting and Overfitting_en.vtt
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VTT
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1.1 KB
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011 Clustering-kmeans.mp4
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MP4
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52.7 MB
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011 Clustering-kmeans_en.vtt
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VTT
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7.7 KB
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012 Data Preprocessing.mp4
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MP4
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127.7 MB
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012 Data Preprocessing_en.vtt
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VTT
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23.3 KB
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013 Coding Example using Scikit-Learn.mp4
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MP4
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91.4 MB
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013 Coding Example using Scikit-Learn_en.vtt
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VTT
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11.6 KB
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36659484-Introduction.pdf
|
PDF
|
2.5 MB
|
|
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36660332-Lecture-2.pdf
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PDF
|
1 MB
|
|
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38190436-clustering.ipynb
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IPYNB
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42.9 KB
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39379018-lect-21.ipynb
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IPYNB
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31.5 KB
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39380246-TensorFlow-MLP.ipynb
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IPYNB
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206.8 KB
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39503732-image-classifying-using-DNN-p1.ipynb
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IPYNB
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33.2 KB
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39534670-RNN-p1.ipynb
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IPYNB
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28.3 KB
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39534952-First-GAN.ipynb
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IPYNB
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1.2 MB
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39535112-DCGAN.ipynb
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IPYNB
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79.3 KB
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Bonus Resources.txt
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TXT
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409.6 B
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|
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Get Bonus Downloads Here.url
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URL
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204.8 B
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external-assets-links.txt
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TXT
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0 B
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movie_data.csv
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CSV
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62.8 MB
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