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| Archived
files |
|
01 - Course Overview\01 - Course Overview.mp4
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02 - Understanding Neural Style Transfer\02 - Module Overview.mp4
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02 - Understanding Neural Style Transfer\03 - Prerequisites and Course Outline.mp4
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02 - Understanding Neural Style Transfer\04 - Content, Style, and Target Images.mp4
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02 - Understanding Neural Style Transfer\05 - Training the Target Image for Style Transfer.mp4
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02 - Understanding Neural Style Transfer\06 - Content Loss.mp4
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02 - Understanding Neural Style Transfer\07 - Style Loss- Cosine Similarity and Dot Products.mp4
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02 - Understanding Neural Style Transfer\08 - Style Loss- Gram Matrix.mp4
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02 - Understanding Neural Style Transfer\09 - Setting up a Deep Learning Virtual Machine.mp4
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02 - Understanding Neural Style Transfer\10 - Using Convolution Filters to Detect Features.mp4
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02 - Understanding Neural Style Transfer\11 - Module Summary.mp4
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03 - Implementing Neural Style Transfer in PyTorch\12 - Module Overview.mp4
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03 - Implementing Neural Style Transfer in PyTorch\13 - Pretrained Models for Style Transfer.mp4
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03 - Implementing Neural Style Transfer in PyTorch\14 - Loading the VGG19 Pretrained Model.mp4
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03 - Implementing Neural Style Transfer in PyTorch\15 - Exploring and Transforming the Content and Style Images.mp4
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03 - Implementing Neural Style Transfer in PyTorch\16 - Extracting Feature Maps from the Content and Style Images.mp4
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03 - Implementing Neural Style Transfer in PyTorch\17 - Calculating the Gram Matrix to Extract Style Information.mp4
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03 - Implementing Neural Style Transfer in PyTorch\18 - Training the Target Image to Perform Style Transfer.mp4
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03 - Implementing Neural Style Transfer in PyTorch\19 - Style Transfer Using AlexNet.mp4
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03 - Implementing Neural Style Transfer in PyTorch\20 - Module Summary.mp4
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04 - Building Generative Adversarial Networks in PyTorch\21 - Module Overview.mp4
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2,156,405 |
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04 - Building Generative Adversarial Networks in PyTorch\22 - Understanding Generative Adversarial Networks (GANs).mp4
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04 - Building Generative Adversarial Networks in PyTorch\23 - Training a GAN.mp4
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04 - Building Generative Adversarial Networks in PyTorch\24 - Understanding the Leaky ReLU Activation Function.mp4
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04 - Building Generative Adversarial Networks in PyTorch\25 - Loading and Exploring the MNIST Handwritten Digit Images.mp4
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04 - Building Generative Adversarial Networks in PyTorch\26 - Setting up the Generator and Discriminator Neural Networks.mp4
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04 - Building Generative Adversarial Networks in PyTorch\27 - Training the Discriminator.mp4
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04 - Building Generative Adversarial Networks in PyTorch\28 - Training the Generator and Generating Fake Images.mp4
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04 - Building Generative Adversarial Networks in PyTorch\29 - Cleaning up Resources.mp4
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04 - Building Generative Adversarial Networks in PyTorch\30 - Summary and Further Study.mp4
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style-transfer-pytorch.zip |
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01 - Course Overview |
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02 - Understanding Neural Style Transfer |
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03 - Implementing Neural Style Transfer in PyTorch |
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04 - Building Generative Adversarial Networks in PyTorch |
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| Total size: |
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