create a 1d resnet block in matlab

main.m
function layers = createResNetBlock(numFilters, kernelSize, stride, blockName)
    layers = [
        convolution2dLayer(3, numFilters, 'Padding', 'same', 'Name', blockName + "_conv1")
        batchNormalizationLayer('Name', blockName + "_bn1")
        reluLayer('Name', blockName + "_relu1")
        convolution2dLayer(kernelSize, numFilters, 'Padding', 'same', 'Stride', stride, 'Name', blockName + "_conv2")
        batchNormalizationLayer('Name', blockName + "_bn2")
    ];

    skipConnection = [
        convolution2dLayer(1, numFilters, 'Stride', stride, 'Name', blockName + "_skipConv")
        batchNormalizationLayer('Name', blockName + "_skipBN")
    ];

    layers = [
        layers
        additionLayer(2, 'Name', blockName + "_add")
        reluLayer('Name', blockName + "_relu2")
    ];

    layers = [
        layers
        skipConnection
    ];
end
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