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)

Arguments

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 (float32, float64, int32...)
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.

Value

A tensor, the concatenation of the inputs alongside axis axis.

See also

Other merge layers: layer_add, layer_average, layer_dot, layer_maximum, layer_minimum, layer_multiply, layer_subtract