Applies an activation function to an output.
Inherits From: Layer
, Operation
tf.keras.layers.Activation(
activation, **kwargs
)
Used in the notebooks
Used in the guide | Used in the tutorials |
---|---|
Args | |
---|---|
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]
Methods
from_config
@classmethod
from_config( config )
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
symbolic_call(
*args, **kwargs
)