tf.keras.layers.maximum

Functional interface to compute maximum (element-wise) list of inputs.

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Compat aliases for migration

See Migration guide for more details.

`tf.compat.v1.keras.layers.maximum`

tf.keras.layers.maximum(
    inputs, **kwargs
)

This is equivalent to the tf.keras.layers.Maximum layer.

For example:

input1 = tf.keras.layers.Input(shape=(16,))
x1 = tf.keras.layers.Dense(8, activation='relu')(input1) #shape=(None, 8)
input2 = tf.keras.layers.Input(shape=(32,))
x2 = tf.keras.layers.Dense(8, activation='relu')(input2) #shape=(None, 8)
max_inp=tf.keras.layers.maximum([x1,x2]) #shape=(None, 8)
out = tf.keras.layers.Dense(4)(max_inp)
model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)

Args
inputs	A list of input tensors of same shape.
**kwargs	Standard layer keyword arguments.

Returns
A tensor (of same shape as input tensor) with the element-wise maximum of the inputs.

Raises
ValueError	If input tensors are of different shape.