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Deep Residual Learning for Image Recognition (ResNet)
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ResNet is a recently proposed DL, CNN algorithm46 that overcomes issues related to a vanishing gradient or gradient divergence via its unique structure of ‘identity shortcut connections’ that skip one or more layers. In this study, Resnet152 (which contains 152 hidden layers) was used. The converted depths of each layer and the output format were as described for VGG.
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