Deep Residual Networks
Paper Title: Deep Residual Learning for Image Recognition
Publication Year: 2016
The Problem:
As neural networks grow in depth, the effect of the vanishing/exploding gradients gets more noticeable, sometimes to the point where adding more layers yields a worse result, but not due to overfitting.
Introduction
In this paper the authors try to ta...