tf.keras.layers.minimum

Functional interface to the keras.layers.Minimum layer.

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

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

A tensor as the elementwise 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.minimum([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.minimum([x1, x2]) out = keras.layers.Dense(4)(y) model = keras.models.Model(inputs=[input1, input2], outputs=out)