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

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

# Contents

- Tensorflow:   xception-optim-nobn.pb

# Lecture note reference

- Xception: Deep Learning with Depthwise Separable Convolutions, https://arxiv.org/pdf/1610.02357.pdf

# Repository or links references

- https://keras.io/api/applications/xception/

BibTeX entry and citation info
```
@article{DBLP:journals/corr/Chollet16a,
  author       = {Fran{\c{c}}ois Chollet},
  title        = {Xception: Deep Learning with Depthwise Separable Convolutions},
  journal      = {CoRR},
  volume       = {abs/1610.02357},
  year         = {2016},
  url          = {http://arxiv.org/abs/1610.02357},
  eprinttype    = {arXiv},
  eprint       = {1610.02357},
  timestamp    = {Mon, 13 Aug 2018 16:46:20 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/Chollet16a.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
```

Author: nbouberbachene@kalrayinc.com