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README.md
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---
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license: mit
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---
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license: mit
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datasets:
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- ILSVRC/imagenet-1k
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pipeline_tag: image-classification
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---
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# Introduction
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This repository stores the model for Xception, compatible with Kalray's neural network API. </br>
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
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# Contents
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- Tensorflow: xception-optim-nobn.pb
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# Lecture note reference
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- Xception: Deep Learning with Depthwise Separable Convolutions, https://arxiv.org/pdf/1610.02357.pdf
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# Repository or links references
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- https://keras.io/api/applications/xception/
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BibTeX entry and citation info
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```
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@article{DBLP:journals/corr/Chollet16a,
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author = {Fran{\c{c}}ois Chollet},
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title = {Xception: Deep Learning with Depthwise Separable Convolutions},
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journal = {CoRR},
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volume = {abs/1610.02357},
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year = {2016},
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url = {http://arxiv.org/abs/1610.02357},
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eprinttype = {arXiv},
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eprint = {1610.02357},
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timestamp = {Mon, 13 Aug 2018 16:46:20 +0200},
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biburl = {https://dblp.org/rec/journals/corr/Chollet16a.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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Author: nbouberbachene@kalrayinc.com
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