Functional interface to the tf.keras.layers.Add layer.
tf.keras.layers.add(
inputs, **kwargs
)
Arguments |
|---|
inputs
|
A list of input tensors (at least 2) 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 functiona 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)
TensorFlow 1 version
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