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xception / README.md
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---
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.pb
- TFlite: xception.tflite
- ONNX: xception.onnx (converted with tf2onnx from tensorflow model above)
# 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