chainer.functions.sigmoid¶

chainer.functions.sigmoid(x)[source]¶

Element-wise sigmoid logistic function.

$f(x)=(1 + \exp(-x))^{-1}.$

Parameters: x (Variable or N-dimensional array) – Input variable. A $(s_1, s_2, ..., s_N)$ -shaped float array.
Returns: Output variable. A $(s_1, s_2, ..., s_N)$ -shaped float array.
Return type: Variable

Example

It maps the input values into the range of $[0, 1]$ .

>>> x = np.arange(-2, 3, 2).astype(np.float32)
>>> x
array([-2.,  0.,  2.], dtype=float32)
>>> F.sigmoid(x).array
array([0.11920291, 0.5       , 0.8807971 ], dtype=float32)