tf.keras.layers.LeakyReLU

Leaky version of a Rectified Linear Unit.

Inherits From: Layer, Module

tf.keras.layers.LeakyReLU(
    alpha=0.3, **kwargs
)

It allows a small gradient when the unit is not active:

    f(x) = alpha * x if x < 0
    f(x) = x if x >= 0

Usage:

layer = tf.keras.layers.LeakyReLU()
output = layer([-3.0, -1.0, 0.0, 2.0])
list(output.numpy())
[-0.9, -0.3, 0.0, 2.0]
layer = tf.keras.layers.LeakyReLU(alpha=0.1)
output = layer([-3.0, -1.0, 0.0, 2.0])
list(output.numpy())
[-0.3, -0.1, 0.0, 2.0]

Input shape
Arbitrary. Use the keyword argument input_shape (tuple of integers, does not include the batch axis) when using this layer as the first layer in a model.

Output shape
Same shape as the input.

Args
alpha	Float >= 0.. Negative slope coefficient. Defaults to 0.3.