Double Residual Superimposition for Enhanced Network Expressiveness and Accuracy

This technique of superimposing double residuals helps to enhance the network's ability to capture intricate details in the input data, especially near the data input part. By minimizing misclassification from adjacent classification, the model can further improve its accuracy rate. Overall, this approach helps to improve the network's expressiveness and make it more effective in handling complex datasets.