Build neural networks
the visual way.

Residual Network Architecture for Image Recognition

A deep residual learning framework that uses skip connections so very deep convolutional networks can be trained without degradation of accuracy on large-scale image classification.

Paper: Deep Residual Learning for Image Recognition (2015)