Leaky version of a Rectified Linear Unit.
Inherits From: Layer
, Module
View aliases
Compat aliases for migration
See
Migration guide for
more details.
`tf.compat.v1.keras.layers.LeakyReLU`
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]
|
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.
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Args |
alpha
|
Float >= 0. . Negative slope coefficient. Defaults to 0.3 .
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