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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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- https://github.com/onnx/models/blob/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/squeezenet/model/squeezenet1.0-12.onnx |
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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 |
