TensorFlow 1 version | View source on GitHub |
Hard sigmoid activation function.
tf.keras.activations.hard_sigmoid(
x
)
Faster to compute than sigmoid activation.
For 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)
Arguments | |
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x
|
Input tensor. |
Returns | |
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The hard sigmoid activation:
|