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.
layer_concatenate(inputs, axis = -1, ...)
A list of input tensors (at least 2). Can be missing.
Concatenation axis.
Standard layer arguments (must be named).
A tensor, the concatenation of the inputs alongside axis axis
. If
inputs
is missing, a keras layer instance is returned.
https://www.tensorflow.org/api_docs/python/tf/keras/layers/concatenate
https://www.tensorflow.org/api_docs/python/tf/keras/layers/Concatenate
Other merge layers:
layer_average()
,
layer_dot()
,
layer_maximum()
,
layer_minimum()
,
layer_multiply()
,
layer_subtract()