The issue seems to be that when the input to your sigmoid implementation is negative, the argument to torch.exp becomes very large, ... ... <看更多>

If you are trying to make a classification then sigmoid is necessary because you want to get a probability value. But if you are trying to make a scalar ... ... <看更多>

class SiLU(Module):. r"""Applies the Sigmoid Linear Unit (SiLU) function, element-wise. The SiLU function ... ... <看更多>

relu and torch.sigmoid . Why do we need those? One of the cool features of Neural Networks is that they can approximate non-linear functions. In fact ... ... <看更多>

Github - Pytorch: how and when to use Module, Sequential, ModuleList and ModuleDict ... Linear(n_input, n_unit1) self.sigmoid = nn. ... <看更多>

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