multiplicationLayer

Multiplication layer

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Description

A multiplication layer multiplies inputs from multiple neural network layers element-wise.

Specify the number of inputs to the layer when you create it. The inputs to the layer 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.The size of the inputs to the multiplication layer must be either same across all dimensions or same across at least one dimension with other dimensions as singleton dimensions.

Creation

Syntax

layer = multiplicationLayer(numInputs)
layer = multiplicationLayer(numInputs,'Name',Name)

Description

example

layer = multiplicationLayer(numInputs) creates a multiplication layer that multiplies numInputs inputs element-wise. This function also sets the NumInputs property.

example

layer = multiplicationLayer(numInputs,'Name',Name) also sets the Name property. To create a network containing a multiplication 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 multiplication layer with two inputs and the name 'mul_1'.

mul = multiplicationLayer(2,'Name','mul_1')
mul = 
  MultiplicationLayer with properties:

          Name: 'mul_1'
     NumInputs: 2
    InputNames: {'in1'  'in2'}

  Show all properties

Create two ReLU layers and connect them to the multiplication layer. The multiplication layer multiplies 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,mul);

lgraph = connectLayers(lgraph,'relu_1','mul_1/in1');
lgraph = connectLayers(lgraph,'relu_2','mul_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 R2020b

Deep Learning Toolbox Documentation

Support