# Customizable Structure

ResNet152 is an image classification model based on deep residual learning, which solves the gradient vanishing problem in deep network training through residual connections.

ResNet26d is an image classification model based on deep residual learning, a variant (d) version of ResNet, optimized for stem structure and shortcut connections.

ResNet18 is an image classification model based on deep residual learning, which solves the difficulty of training deep networks through residual connections.

ResNet50 is an image classification model based on deep residual learning, which solves the vanishing gradient problem in deep neural networks through residual connections.