ResNet | Advanced Computer Vision | TF and Keras

Residual Networks, or ResNets, learn residual functions with reference to the layer inputs, instead of learning unreferenced functions. Instead of hoping each few stacked layers directly fit a desired underlying mapping, residual nets let these layers fit a residual mapping. There is empirical evidence that these types of networks are easier to optimize, and can gain accuracy from considerably increased depth.