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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 Mobilenet-v2, 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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Please see https://huggingface.co/docs/transformers/main/en/model_doc/mobilenet_v2 for Mobilenet-v2 model description. </br>
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# Contents
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- ONNX: mobilenetv2.onnx
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# Lecture note reference
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- MobileNetV2: Inverted Residuals and Linear Bottlenecks, https://arxiv.org/pdf/1801.04381
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# Repository or links references
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- https://pytorch.org/vision/stable/models/generated/torchvision.models.mobilenet_v2.html#torchvision.models.mobilenet_v2
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BibTeX entry and citation info
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```
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@article{DBLP:journals/corr/abs-1801-04381,
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author = {Mark Sandler and
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Andrew G. Howard and
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Menglong Zhu and
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Andrey Zhmoginov and
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Liang{-}Chieh Chen},
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title = {Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification,
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Detection and Segmentation},
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journal = {CoRR},
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volume = {abs/1801.04381},
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year = {2018},
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url = {http://arxiv.org/abs/1801.04381},
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eprinttype = {arXiv},
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eprint = {1801.04381},
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timestamp = {Tue, 12 Jan 2021 15:30:06 +0100},
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biburl = {https://dblp.org/rec/journals/corr/abs-1801-04381.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: [email protected]
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