tf.keras.activations.hard_sigmoid

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Hard sigmoid activation function.

Faster to compute than sigmoid activation.

Arguments
x Input tensor.
Returns
Hard sigmoid activation:
  • 0 if x < -2.5
  • 1 if x > 2.5
  • 0.2 * x + 0.5 if -2.5 <= x <= 2.5.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/activations/hard_sigmoid