---
license: apache-2.0
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---

# Introduction

This repository stores the model for Inception-v3, 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:   inception-v3.onnx
- Quantized ONNX (INT8): inception-v3-q.onnx

# Lecture note reference

- Rethinking the Inception Architecture for Computer Vision, https://arxiv.org/pdf/1512.00567.pdf

# Repository or links references

- [PyTorch | TorchVision](https://pytorch.org/vision/main/models/generated/torchvision.models.inception_v3.html)

BibTeX entry and citation info
```
@article{DBLP:journals/corr/SzegedyVISW15,
  author       = {Christian Szegedy and
                  Vincent Vanhoucke and
                  Sergey Ioffe and
                  Jonathon Shlens and
                  Zbigniew Wojna},
  title        = {Rethinking the Inception Architecture for Computer Vision},
  journal      = {CoRR},
  volume       = {abs/1512.00567},
  year         = {2015},
  url          = {http://arxiv.org/abs/1512.00567},
  eprinttype   = {arXiv},
  eprint       = {1512.00567},
  timestamp    = {Mon, 13 Aug 2018 16:49:07 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/SzegedyVISW15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
```

Authors:
+ qmuller@kalrayinc.com
+ nbouberbachene@kalrayinc.com