Layer that concatenates a list of inputs.
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 )
inputs |
A list of input tensors (at least 2). |
axis |
Concatenation axis. |
batch_size |
Fixed batch size for layer |
dtype |
The data type expected by the input, as a string ( |
name |
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. |
trainable |
Whether the layer weights will be updated during training. |
weights |
Initial weights for layer. |
A tensor, the concatenation of the inputs alongside axis axis.
Other merge layers:
layer_add(),
layer_average(),
layer_dot(),
layer_maximum(),
layer_minimum(),
layer_multiply(),
layer_subtract()
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.