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► Keras 3 API documentation / Layers API / Merging layers / Average layer

Average layer

[source]

Average class

keras.layers.Average(**kwargs)

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).

Examples

>>> input_shape = (2, 3, 4) >>> x1 = np.random.rand(*input_shape) >>> x2 = np.random.rand(*input_shape) >>> y = keras.layers.Average()([x1, x2])

Usage in a Keras model:

>>> input1 = keras.layers.Input(shape=(16,)) >>> x1 = keras.layers.Dense(8, activation='relu')(input1) >>> input2 = keras.layers.Input(shape=(32,)) >>> x2 = keras.layers.Dense(8, activation='relu')(input2) >>> # equivalent to `y = keras.layers.average([x1, x2])` >>> y = keras.layers.Average()([x1, x2]) >>> out = keras.layers.Dense(4)(y) >>> model = keras.models.Model(inputs=[input1, input2], outputs=out)
Average layer
Average class