Fast Reader Notes: An introduction to working with `torch.autograd` and performing backpropagation on a function with `.backward()`. Deep learning optimization hinges entirely on calculating gradients efficiently.
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Up until now we calculated the gradients "by hand" and coded them manually. Deep learning optimization hinges entirely on calculating gradients efficiently.
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- Deep learning optimization hinges entirely on calculating gradients efficiently.
- An introduction to working with `torch.autograd` and performing backpropagation on a function with `.backward()`.
- Up until now we calculated the gradients "by hand" and coded them manually.
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