tf.keras.layers.add

Functional interface to the tf.keras.layers.Add layer.

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Compat aliases for migration

See Migration guide for more details.

`tf.compat.v1.keras.layers.add`

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

Args
inputs	A list of input tensors with the same shape.
**kwargs	Standard layer keyword arguments.

Returns
A tensor as the sum of the inputs. It has the same shape as the inputs.

Examples:

input_shape = (2, 3, 4)
x1 = tf.random.normal(input_shape)
x2 = tf.random.normal(input_shape)
y = tf.keras.layers.add([x1, x2])
print(y.shape)
(2, 3, 4)

Used in a functional model:

input1 = tf.keras.layers.Input(shape=(16,))
x1 = tf.keras.layers.Dense(8, activation='relu')(input1)
input2 = tf.keras.layers.Input(shape=(32,))
x2 = tf.keras.layers.Dense(8, activation='relu')(input2)
added = tf.keras.layers.add([x1, x2])
out = tf.keras.layers.Dense(4)(added)
model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)