Multiply layer
Multiply class
tf_keras.layers.Multiply(**kwargs)
Layer that multiplies (element-wise) a list of inputs.
It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape).
>>> tf.keras.layers.Multiply()([np.arange(5).reshape(5, 1),
... np.arange(5, 10).reshape(5, 1)])
<tf.Tensor: shape=(5, 1), dtype=int64, numpy=
array([[ 0],
[ 6],
[14],
[24],
[36]])>
>>> x1 = tf.keras.layers.Dense(8)(np.arange(10).reshape(5, 2))
>>> x2 = tf.keras.layers.Dense(8)(np.arange(10, 20).reshape(5, 2))
>>> multiplied = tf.keras.layers.Multiply()([x1, x2])
>>> multiplied.shape
TensorShape([5, 8])