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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 Squeezenet, 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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- ONNX: squeezenet-v1.onnx
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# Lecture note reference
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- https://arxiv.org/pdf/1602.07360
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# Repository or links references
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-
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BibTeX entry and citation info
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```
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@article{DBLP:journals/corr/IandolaMAHDK16,
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author = {Forrest N. Iandola and
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Matthew W. Moskewicz and
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Khalid Ashraf and
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Song Han and
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William J. Dally and
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Kurt Keutzer},
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title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and {\textless}1MB
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model size},
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journal = {CoRR},
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volume = {abs/1602.07360},
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year = {2016},
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url = {http://arxiv.org/abs/1602.07360},
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eprinttype = {arXiv},
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eprint = {1602.07360},
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timestamp = {Fri, 20 Nov 2020 16:16:06 +0100},
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biburl = {https://dblp.org/rec/journals/corr/IandolaMAHDK16.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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