Hello.

I have question.

Could I change the weight and bias in nn.torch.Sigmoid()?

Hello.

I have question.

Could I change the weight and bias in nn.torch.Sigmoid()?

The sigmoid function does not hold any weight or bias parameters. It just applies `1 / (1 + e**(-x))`

on its input `x`

.

Thanks for your reply.

Then, If I use Sigmoid function, Couldn’t revise bias and weight??

I’m not sure I understand your use case clearly.

If you would like to take a look at some parameters, you can call them directly in the corresponding module:

```
weight = model.fc.weight
bias = model.fc.bias
```

where your model contains e.g. a linear layer assigned to `self.fc`

.