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