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---
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 |