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tf.keras.layers.Activation

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Applies an activation function to an output.

Inherits From: Layer

Arguments
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]

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 input.

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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/r2.3/api_docs/python/tf/keras/layers/Activation