how to connect new network to existing model

I have combined output of 2 networks. I need to connect combined output with 3rd network. I am unable to do it. I have to connect add_1 to deconv1 layer. please guide.

load netop.mat;

load trained_net.mat;

lgraph = layerGraph;

lgraph = addLayers(lgraph,visual_net_layes);

lgraph = addLayers(lgraph,audio_net_layers);

add = additionLayer(2,'Name','add_1')

lgraph = addLayers(lgraph,add);

lgraph = connectLayers(lgraph,'fc1','add_1/in1');

lgraph = connectLayers(lgraph,'fc2','add_1/in2');

% plot(lgraph)

newlayers = [

transposedConv2dLayer(11,96,'Stride',4,'Name','deconv1');

batchNormalizationLayer

reluLayer

transposedConv2dLayer(11,96,'Stride',4);

batchNormalizationLayer

reluLayer

transposedConv2dLayer(11,96,'Stride',4);

batchNormalizationLayer

reluLayer

averagePooling2dLayer(2,'Stride',2)

fullyConnectedLayer(2)

softmaxLayer

classificationLayer];

%lgraph = layerGraph(newlayers);

lgraph = addLayers(lgraph,newlayers);

figure

plot(lgraph)

Answer 1

[Vinayak Choyyan]

Hi Shilpa Sonawane,

As per my understanding, you are facing an issue when trying to combine 3 deep neural networks.

From the code provided, I see that you are trying to combine the output of ‘add_1’ to the input of ‘deconv1’ layer. Please try out the following code.

lgraph=connectLayers(lgraph,'add_1/out','devcon1');

For more information on ‘additionLayer’, please check out the following documentation https://www.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.additionlayer.html

I hope this resolves the issue you are facing.

[Shilpa Sonawane]

Yes Sir, It works now. Thank you so much Sir.

[Vinayak Choyyan]

I am glad to be of help.

[Shilpa Sonawane]

Thanks Sir.