ch2.1-automatic-differentiation #22
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y.backward(gradient=w) 完全等价于 (y * w).sum().backward(),这个w权重的理解是这样的 |
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day two!!! |
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ch2.1-automatic-differentiation
2.1 Automatic Differentiation in PyTorch: From Forward Computation to Backpropagation
https://jshn9515.github.io/deep-learning-notes/zh/ch2-pytorch-introduction/ch2.1-automatic-differentiation.html
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