tf.keras.activations.hard_sigmoid

Hard sigmoid activation function.

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Compat aliases for migration

`tf.compat.v1.keras.activations.hard_sigmoid`

tf.keras.activations.hard_sigmoid(
    x
)

A faster approximation of the sigmoid activation. Piecewise linear approximation of the sigmoid function. Ref: 'https://en.wikipedia.org/wiki/Hard_sigmoid'

Example:

a = tf.constant([-3.0, -1.0, 0.0, 1.0, 3.0], dtype = tf.float32)
b = tf.keras.activations.hard_sigmoid(a)
b.numpy()
array([0. , 0.3, 0.5, 0.7, 1. ], dtype=float32)

Args
`x`	Input tensor.

Returns
The hard sigmoid activation, defined as: `if x < -2.5: return 0` `if x > 2.5: return 1` `if -2.5 <= x <= 2.5: return 0.2 * x + 0.5`

Returns

The hard sigmoid activation, defined as:

if x < -2.5: return 0
if x > 2.5: return 1
if -2.5 <= x <= 2.5: return 0.2 * x + 0.5

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Last updated 2023-10-06 UTC.

tf.keras.activations.hard_sigmoid

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Example:

Args

Returns