depthConcatenationLayer

Depth concatenation layer

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Description

A depth concatenation layer takes inputs that have the same height and width and concatenates them along the third dimension (the channel dimension).

Specify the number of inputs to the layer when you create it. The inputs have the names 'in1','in2',...,'inN', where N is the number of inputs. Use the input names when connecting or disconnecting the layer by using connectLayers or disconnectLayers.

Creation

Syntax

layer = depthConcatenationLayer(numInputs)
layer = depthConcatenationLayer(numInputs,'Name',name)

Description

example

layer = depthConcatenationLayer(numInputs) creates a depth concatenation layer that concatenates numInputs inputs along the third (channel) dimension. This function also sets the NumInputs property.

example

layer = depthConcatenationLayer(numInputs,'Name',name) also sets the Name property. To create a network containing a depth concatenation layer, you must specify a layer name.

Properties

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Number of inputs to the layer, specified as a positive integer.

The inputs have the names 'in1','in2',...,'inN', where N equals NumInputs. For example, if NumInputs equals 3, then the inputs have the names 'in1','in2', and 'in3'. Use the input names when connecting or disconnecting the layer by using connectLayers or disconnectLayers.

Layer name, specified as a character vector or a string scalar. To include this layer in a layer graph, you must specify a layer name.

Data Types: char | string

Input names, specified as {'in1','in2',...,'inN'}, where N is the number of inputs of the layer.

Data Types: cell

Number of outputs of the layer. This layer has a single output only.

Data Types: double

Output names of the layer. This layer has a single output only.

Data Types: cell

Examples

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Open Live Script

Create a depth concatenation layer with two inputs and the name 'concat_1'.

concat = depthConcatenationLayer(2,'Name','concat_1')
concat = 
  DepthConcatenationLayer with properties:

          Name: 'concat_1'
     NumInputs: 2
    InputNames: {'in1'  'in2'}

Create two ReLU layers and connect them to the depth concatenation layer. The depth concatenation layer concatenates the outputs from the ReLU layers. 

relu_1 = reluLayer('Name','relu_1');
relu_2 = reluLayer('Name','relu_2');

lgraph = layerGraph;
lgraph = addLayers(lgraph,relu_1);
lgraph = addLayers(lgraph,relu_2);
lgraph = addLayers(lgraph,concat);

lgraph = connectLayers(lgraph,'relu_1','concat_1/in1');
lgraph = connectLayers(lgraph,'relu_2','concat_1/in2');

plot(lgraph)

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

See Also

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Topics

Introduced in R2017b

Deep Learning Toolbox Documentation

Support