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---
license: apache-2.0
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
- Quantized ONNX (INT8) : googlenet-q.onnx
- Tensorflow: googlenet.pb
# Lecture note reference
- Going Deeper with Convolutions, https://arxiv.org/pdf/1409.4842
# Repository or links references
- [PyTorch | TorchVision](https://pytorch.org/vision/stable/models/generated/torchvision.models.googlenet.html#torchvision.models.googlenet)
- [Tensorflow](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}
}
```
Authors:
+ qmuller@kalrayinc.com
+ nbouberbachene@kalrayinc.com |