Applies an activation function to an output.
Inherits From: Layer
, Module
View aliases
Compat aliases for migration
See
Migration guide for
more details.
`tf.compat.v1.keras.layers.Activation`
tf.keras.layers.Activation(
activation, **kwargs
)
Args |
activation
|
Activation function, such as tf.nn.relu , or string name of
built-in activation function, such as "relu".
|
Usage:
layer = tf.keras.layers.Activation('relu')
output = layer([-3.0, -1.0, 0.0, 2.0])
list(output.numpy())
[0.0, 0.0, 0.0, 2.0]
layer = tf.keras.layers.Activation(tf.nn.relu)
output = layer([-3.0, -1.0, 0.0, 2.0])
list(output.numpy())
[0.0, 0.0, 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 input.
|