Average layer
Average class
tf_keras.layers.Average(**kwargs)
Layer that averages a list of inputs element-wise.
It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape).
Example
>>> x1 = np.ones((2, 2))
>>> x2 = np.zeros((2, 2))
>>> y = tf.keras.layers.Average()([x1, x2])
>>> y.numpy().tolist()
[[0.5, 0.5], [0.5, 0.5]]
Usage 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)
>>> avg = tf.keras.layers.Average()([x1, x2])
>>> out = tf.keras.layers.Dense(4)(avg)
>>> model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)
Raises
- ValueError: If there is a shape mismatch between the inputs and the shapes cannot be broadcasted to match.