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tf.keras.ops.hard_sigmoid

Hard sigmoid activation function.

tf.keras.ops.hard_sigmoid(
    x
)

It is defined as:

0 if x < -2.5, 1 if x > 2.5, (0.2 * x) + 0.5 if -2.5 <= x <= 2.5.

Args
x Input tensor.
Returns
A tensor with the same shape as x.

Example:

x = np.array([-1., 0., 1.])
x_hard_sigmoid = keras.ops.hard_sigmoid(x)
print(x_hard_sigmoid)
array([0.3, 0.5, 0.7], shape=(3,), dtype=float64)

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/ops/hard_sigmoid