ResNet A 152-layer CNN architecture, which creates The Residual Blocks idea to address the issue of the vanishing/exploding gradient. Residual Block Plane layer y=f(x) - Not add the input x - y is Feature vector(Feature Map). - y is the information newly learned through x. - y is not preserve information when generate new information. - The deeper the layers, too much mapping to learn at once. R..
