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, batch_size = NULL, dtype = NULL, name = NULL, trainable = NULL, weights = NULL)
A list of input tensors (at least 2).
Fixed batch size for layer
The data type expected by the input, as a string (
An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided.
Whether the layer weights will be updated during training.
Initial weights for layer.
A tensor, the concatenation of the inputs alongside axis