Missed TensorFlow Dev Summit? Check out the video playlist. Watch recordings

tf.keras.layers.Add

TensorFlow 1 version View source on GitHub

Layer that adds a list of inputs.

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

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) 

Arguments:

  • **kwargs: standard layer keyword arguments.