create a resnet block in matlab

main.m
function layers = createResNetBlock(numFilters, stride, blockID)
    layers = [
        convolution2dLayer(3, numFilters, 'Padding', 'same', 'Stride', stride, 'Name', "conv_" + blockID + "_1")
        batchNormalizationLayer('Name', "bn_" + blockID + "_1")
        reluLayer('Name', "relu_" + blockID + "_1")
        convolution2dLayer(3, numFilters, 'Padding', 'same', 'Name', "conv_" + blockID + "_2")
        batchNormalizationLayer('Name', "bn_" + blockID + "_2")
    ];

    if stride > 1 || numFilters < 256
        layers = [
            layers
            reluLayer('Name', "relu_" + blockID + "_2")          
            convolution2dLayer(1, numFilters, 'Stride', stride, 'Name', "conv_skip_" + blockID)
            batchNormalizationLayer('Name', "bn_skip_" + blockID)
        ];
    end
end
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