Decoding the ResNet architecture

Thu, 02 Nov 2017 23:27:27 -0400

Introduction

Fast.ai’s 2017 batch kicked off on 30th Oct and Jeremy Howard introduced us participants to the ResNet model in the first lecture itself. I had used this model earlier in the passing but got curious to dig into its architecture this time. (In fact in one of my earlier client projects I had used Faster RCNN, which uses a ResNet variant under the hood.)

ResNet was unleashed in 2015 by Kaiming He. et.al. through their paper Deep Residual Learning for Image Recognition and bagged all the ImageNet challenges including classification, detection, and localization.

Resnet on Teleported.in

Decoding the ResNet architecture

Introduction