tf.keras.layers.Subtract

Layer that subtracts two inputs.

Inherits From: Layer, Module

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Compat aliases for migration

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`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)

Args
**kwargs	standard layer keyword arguments.