layer_concatenate: Layer that concatenates a list of inputs.

In keras: R Interface to 'Keras'

Layer that concatenates a list of inputs.

Description

It takes as input a list of tensors, all of the same shape expect for the concatenation axis, and returns a single tensor, the concatenation of all inputs.

Usage

layer_concatenate(inputs, ..., axis = -1)

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.
axis	Concatenation axis.

Value

A tensor, the concatenation of the inputs alongside axis axis. If inputs is missing, a keras layer instance is returned.

See Also

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

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

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

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

keras documentation built on Aug. 16, 2023, 1:07 a.m.