# tf.keras.layers.multiply

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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/multiply.py#L54-L84) |

Functional interface to the `Multiply` layer.

#### View aliases


**Compat aliases for migration**

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

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

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

#### Example:

    x1 = np.arange(3.0)
    x2 = np.arange(3.0)
    tf.keras.layers.multiply([x1, x2])
    <tf.Tensor: shape=(3,), dtype=float32, numpy=array([0., 1., 4.], ...)>

Usage in a functional model:

    input1 = tf.keras.layers.Input(shape=(16,))
    x1 = tf.keras.layers.Dense(
        8, activation='relu')(input1) #shape=(None, 8)
    input2 = tf.keras.layers.Input(shape=(32,))
    x2 = tf.keras.layers.Dense(
        8, activation='relu')(input2) #shape=(None, 8)
    out = tf.keras.layers.multiply([x1,x2]) #shape=(None, 8)
    out = tf.keras.layers.Dense(4)(out)
    model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)

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| ## Args ||
|---|---|
| `inputs` | A list of input tensors. |
| `**kwargs` | Standard layer keyword arguments. |

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| ## Returns ||
|---|---|
| A tensor, the element-wise product of the inputs. ||

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