Can we connect the fullyconnected layer of the Vgg19 pretrained model with the TCN block so that the Vgg19 and TCN can be combined? I have 2 Errors and I need to be solved

net = vgg19;

lgraphUpdated = layerGraph(net);

lgraphUpdated = removeLayers(lgraphUpdated,'output');

lgraphUpdated = removeLayers(lgraphUpdated,'prob');

% Replace the fullyconnected with 1000 class with fullyconnected with 2

% clases

newFCLayer = fullyConnectedLayer(numClasses,'Name','new_fc','WeightLearnRateFactor',10,'BiasLearnRateFactor',10);

lgraphUpdated = replaceLayer(lgraphUpdated,'fc8',newFCLayer);

% add a flatten layer after the fullyconnected layer

newadd = flattenLayer('Name','f1');

lgraphUpdated = addLayers(lgraphUpdated,newadd);

% TCN Model % start the TCN model with the flatten layer of the Vgg19

% then pass the output of the flatten layer to 1D convolution dilated

% casual layer

numFeatures = 2;

numFilters = 64;

filterSize = 5;

dropoutFactor = 0.005;

numBlocks = 4;

lgraph = lgraphUpdated.Layers;

lgraph = layerGraph(lgraph);

outputName = 'f1';

for i = 1:numBlocks

dilationFactor = 2^(i-1);

layers = [

convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal",Name="conv11_"+i)

layerNormalizationLayer

dropoutLayer(dropoutFactor)

convolution1dLayer(filterSize,numFilters,DilationFactor=dilationFactor,Padding="causal")

layerNormalizationLayer

reluLayer

dropoutLayer(dropoutFactor)

additionLayer(2,Name="add_"+i)];

% Add and connect layers.

lgraph = addLayers(lgraph,layers);

lgraph = connectLayers(lgraph,outputName,"conv11_"+i);

% Skip connection.

if i == 1

% Include convolution in first skip connection.

layer = convolution1dLayer(1,numFilters,Name="convSkip");

lgraph = addLayers(lgraph,layer);

lgraph = connectLayers(lgraph,outputName,"convSkip");

lgraph = connectLayers(lgraph,"convSkip","add_" + i + "/in2");

else

lgraph = connectLayers(lgraph,outputName,"add_" + i + "/in2");

end

% Update layer output name.

outputName = "add_" + i;

end

layers = [

fullyConnectedLayer(numClasses,Name="fc")

softmaxLayer

classificationLayer];

lgraph = addLayers(lgraph,layers);

lgraph = connectLayers(lgraph,outputName,"fc");

analyzeNetwork(lgraph);

x = 0;