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並前往https://towardsdatascience.com/understand-kaiming-initialization-and-implementation-detail-in-pytorch-f7aa967e9138

Understand Kaiming Initialization and Implementation Detail ...

w1 = torch.randn(784, 50) * math.sqrt(2/784) b1 = torch.randn(50) ... from torch.nn import init# linear layer implementation

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