Gmelli
Created page with "A Residual Neural Network (ResNet) Architecture is an deep neural network architecture that is based on batch normalization and consists of residual units which have skip connections. * <B>Context:</B> ** It can range from a Shallow Residual Neural Network to being a Deep Residual Neural Network. ** It can be used to solve the vanishing gradient problem. ** … * <B>Example(s):</B> ** a He-Zhang-Ren-Sun Deep Residual Network (#2016a|..."