Add layer

Add class

tf.keras.layers.Add(**kwargs)

Layer that adds 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).

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)
>>> # equivalent to `added = tf.keras.layers.add([x1, x2])`  
>>> added = tf.keras.layers.Add()([x1, x2])
>>> out = tf.keras.layers.Dense(4)(added)
>>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)