sigmoid

sigmoid#

Signature#

nabla.sigmoid(arg: 'Array') -> 'Array'

Description#

Computes the element-wise sigmoid function.

The sigmoid function, defined as 1 / (1 + exp(-x)), is a common activation function that squashes values to the range (0, 1).

Parameters#

  • arg (Array): The input array.

Returns#

  • Array: An array containing the sigmoid of each element.

Examples#

>>> import nabla as nb
>>> x = nb.array([-1.0, 0.0, 1.0, 20.0])
>>> nb.sigmoid(x)
Array([0.26894143, 0.5       , 0.7310586 , 1.        ], dtype=float32)
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