MiniGoogLeNet-PyTorch

It's a PyTorch version of MiniGoogLeNet, adapted from Tensorflow version of MiniGoogLeNet

Author: Yuanzhe Liu

This notebook is highly inspired and referenced by the following link:

https://github.com/meng1994412/GoogLeNet_from_scratch/blob/master/pipeline/nn/conv/minigooglenet.py

Introduction

This MiniGoogLeNet architecture is from here.

Below is the architecture of MiniGoogLeNet:

For the usage of MiniGoogLeNet on MNIST dataset and CIFAR-10 dataset, please take a look at the jupyter notebook MinGoogLeNet.ipynb, or access my notebook on colab over here.

Feel free to raise an issue if any questions or problems related to this repo.

Reference

@article{DBLP:journals/corr/ZhangBHRV16,
  author    = {Chiyuan Zhang and
               Samy Bengio and
               Moritz Hardt and
               Benjamin Recht and
               Oriol Vinyals},
  title     = {Understanding deep learning requires rethinking generalization},
  journal   = {CoRR},
  volume    = {abs/1611.03530},
  year      = {2016},
  url       = {http://arxiv.org/abs/1611.03530},
  eprinttype = {arXiv},
  eprint    = {1611.03530},
  timestamp = {Mon, 13 Aug 2018 16:47:02 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/ZhangBHRV16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

https://github.com/meng1994412/GoogLeNet_from_scratch