tf.keras.layers.subtract

Functional interface to the keras.layers.Subtract layer.

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

inputs A list of input tensors of size 2, each tensor of the same shape.
**kwargs Standard layer keyword arguments.

A tensor as the difference of the inputs. It has 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.subtract([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)
subtracted = keras.layers.subtract([x1, x2])
out = keras.layers.Dense(4)(subtracted)
model = keras.models.Model(inputs=[input1, input2], outputs=out)