Missed TensorFlow World? Check out the recap. Learn more

tf.keras.activations.hard_sigmoid

tf.keras.activations.hard_sigmoid(x)

Defined in tensorflow/python/keras/activations.py.

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.