---
license: mit
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---

# Introduction

This repository stores the model for Googlenet, compatible with Kalray's neural network API. </br>
Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>

# Contents

- ONNX:       googlenet.onnx
- Tensorflow: googlenet.pb

# Lecture note reference

- Going Deeper with Convolutions, https://arxiv.org/pdf/1409.4842

# Repository or links references

- https://pytorch.org/vision/stable/models/generated/torchvision.models.googlenet.html#torchvision.models.googlenet
- https://github.com/tensorflow/models/blob/master/research/slim/README.md#pre-trained-models

BibTeX entry and citation info
```
@article{DBLP:journals/corr/SzegedyLJSRAEVR14,
  author       = {Christian Szegedy and
                  Wei Liu and
                  Yangqing Jia and
                  Pierre Sermanet and
                  Scott E. Reed and
                  Dragomir Anguelov and
                  Dumitru Erhan and
                  Vincent Vanhoucke and
                  Andrew Rabinovich},
  title        = {Going Deeper with Convolutions},
  journal      = {CoRR},
  volume       = {abs/1409.4842},
  year         = {2014},
  url          = {http://arxiv.org/abs/1409.4842},
  eprinttype    = {arXiv},
  eprint       = {1409.4842},
  timestamp    = {Mon, 13 Aug 2018 16:48:52 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/SzegedyLJSRAEVR14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
```

Author: nbouberbachene@kalrayinc.com