layer_average: Layer that averages a list of inputs.

In keras: R Interface to 'Keras'

Layer that averages a list of inputs.

Description

It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape).

Usage

layer_average(inputs, ...)

Arguments

inputs	A input tensor, or list of input tensors. Can be missing.
...	Unnamed args are treated as additional inputs. Named arguments are passed on as standard layer arguments.

Value

A tensor, the average of the inputs. If inputs is missing, a keras layer instance is returned.

See Also

• https://www.tensorflow.org/api_docs/python/tf/keras/layers/average

• https://www.tensorflow.org/api_docs/python/tf/keras/layers/Average

• https://keras.io/api/layers/merging_layers/average

Other merge layers: layer_concatenate(), layer_dot(), layer_maximum(), layer_minimum(), layer_multiply(), layer_subtract()

keras documentation built on May 29, 2024, 3:20 a.m.