Activation layer
Activation class
tf_keras.layers.Activation(activation, **kwargs)
Applies an activation function to an output.
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.