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Deep Learning With PyTorch Bookclub/Tutorial Chapters 1 and 2
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This meeting occurs every Saturday 12-2pm San Diego time. If interested, feel free to join the conversation. We are always open to new voices.
The main points of these two chapters were understanding what PyTorch is, getting a small preview of what is possible with deep learning and getting our environments configured. We run some code examples and discuss the pro's and con's of PyTorch.
Deep Learning With PyTorch Bookclub/Tutorial Chapters 1 and 2
Deep Learning With PyTorch Bookclub/Tutorial Chapter 5 - The mechanics of learning
Deep Learning With PyTorch Bookclub/Tutorial Chapter 3 - Tensors
Deep Learning With PyTorch Bookclub/Tutorial Chapter 4 - Data Representation
Deep Learning With PyTorch Bookclub/Tutorial Chapter 11 - building a model and training pipeline
Deep Learning With PyTorch Bookclub/Tutorial Chapter 6 - Using a neural network to fit the data
Deep Learning With PyTorch Bookclub/Tutorial Chapter 8 - Using convolutions to generalize
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Deep Learning With PyTorch Bookclub/Tutorial Chapter 9/10 - Fighting Cancer with DL
Deep Learning With PyTorch Bookclub/Tutorial Chapter 15 - Putting models into production
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Deep Learning With PyTorch Bookclub/Tutorial Chapter 12 - Augmenting data and understanding metrics
Deep Learning With PyTorch Bookclub/Tutorial Chapter 14 - Combining segmentation and classification
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Deep Learning With PyTorch Bookclub/Tutorial Chapter 13 - Segmentation models + formatting the task
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