Paper Reading Records

This repository is used to store notes taken while reading papers. As part of personal practice, the papers I read may cover different fields, but I mainly focus on groundbreaking papers in deep learning.

Deep Learning

Note for those breakthrough model and technology. Folder ModelRealize stores all the code for models I have successfully replicated from papers.

CNN

1. Note for AlexNet ImageNet classification with deep convolutional neural networks. Code to replicate model, written in Pytorch, stores here.
2. Note for VGG Very Deep Convolutional Networks for Large-Scale Image Recognition. Replicated model Code
3. Note for ResNet Deep Residual Learning for Image Recognition. Replicated model Code