Sigmoid#

classtorch.nn.Sigmoid(*args,**kwargs)[source]#

Applies the Sigmoid function element-wise.

$$\text{Sigmoid}(x)=\sigma (x)=\frac{1}{1+\exp (-x)}$$Sigmoid(x)=σ(x)=1+exp(−x)1​

Shape:

• Input:$(\ast )$(∗), where$\ast$∗ means any number of dimensions.

• Output:$(\ast )$(∗), same shape as the input.

Examples:

>>>m=nn.Sigmoid()>>>input=torch.randn(2)>>>output=m(input)

forward(input)[source]#

Runs the forward pass.

Return type

Tensor