Sigmoid Activation

sigmoid_actv_type

sigmoid_actv_type(
  scale=1.0,
  attributes=...
)

The sigmoid activation function squashes values to a range between 0 and 1.

\[f(x) = s \frac{1}{1 + e^{-x}}\]

where \(s\) is a scaling factor (default 1.0). This activation is commonly used in binary classification problems and in the output layer of networks predicting probabilities.

Arguments

• scale (real): Scaling factor for the output. Default: 1.0.

• attributes (array): Optional ONNX attributes.

Shape:

• Input: Any shape.

• Output: Same shape as input, with values in range (0, 1).