# tf.keras.layers.Subtract

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/keras-team/keras/tree/v2.13.1/keras/layers/merging/subtract.py#L25-L64) |

Layer that subtracts two inputs.

Inherits From: [`Layer`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/layers/Layer), [`Module`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/Module)

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

\`tf.compat.v1.keras.layers.Subtract\`

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    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.src as 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)

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| ## Args ||
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| `**kwargs` | standard layer keyword arguments. |

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