tf.keras.layers.Subtract

View source on GitHub

Layer that subtracts two inputs.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.Subtract

tf.keras.layers.Subtract(
    **kwargs
)

It takes as input a list of tensors of size 2, both of the same shape, and returns a single tensor, (inputs[0] - inputs[1]), also of the same shape.

Examples:

import keras

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)
# Equivalent to subtracted = keras.layers.subtract([x1, x2])
subtracted = keras.layers.Subtract()([x1, x2])

out = keras.layers.Dense(4)(subtracted)
model = keras.models.Model(inputs=[input1, input2], outputs=out)

Arguments
**kwargs	standard layer keyword arguments.