tf.keras.layers.Activation

Applies an activation function to an output.

Inherits From: Layer, Operation

Used in the notebooks

Used in the guide Used in the tutorials

activation Activation function. It could be a callable, or the name of an activation from the keras.activations namespace.
**kwargs Base layer keyword arguments, such as name and dtype.

Example:

layer = keras.layers.Activation('relu')
layer([-3.0, -1.0, 0.0, 2.0])
[0.0, 0.0, 0.0, 2.0]
layer = keras.layers.Activation(keras.activations.relu)
layer([-3.0, -1.0, 0.0, 2.0])
[0.0, 0.0, 0.0, 2.0]

input Retrieves the input tensor(s) of a symbolic operation.

Only returns the tensor(s) corresponding to the first time the operation was called.

output Retrieves the output tensor(s) of a layer.

Only returns the tensor(s) corresponding to the first time the operation was called.

Methods

from_config

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Creates a layer from its config.

This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).

Args
config A Python dictionary, typically the output of get_config.

Returns
A layer instance.

symbolic_call

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