tf.keras.layers.average

Functional interface to the keras.layers.Average layer.

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

inputs A list of input tensors , all of the same shape.
**kwargs Standard layer keyword arguments.

A tensor as the element-wise product of the inputs with the same shape as the inputs.

Examples:

input_shape = (2, 3, 4)
x1 = np.random.rand(*input_shape)
x2 = np.random.rand(*input_shape)
y = keras.layers.average([x1, x2])

Usage in a Keras model:

input1 = keras.layers.Input(shape=(16,))
x1 = keras.layers.Dense(8, activation='relu')(input1)
input2 = keras.layers.Input(shape=(32,))
x2 = keras.layers.Dense(8, activation='relu')(input2)
y = keras.layers.average([x1, x2])
out = keras.layers.Dense(4)(y)
model = keras.models.Model(inputs=[input1, input2], outputs=out)