February 2019
Beginner to intermediate
308 pages
7h 42m
English
The residual neural network (ResNet) was introduced by Kaiming He et al. at the 2015 ILSVRC (by now, you should notice that this competition is extremely important for neural networks and computer vision, and new state-of-the-art techniques are revealed during the annual competition).
The salient feature of ResNet was the residual block technique, which allowed the neural network to be deeper while keeping the number of parameters moderate.