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---
license: mit
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---
# Introduction
This repository stores the model for Resnext50, compatible with Kalray's neural network API. </br>
Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
Please see https://huggingface.co/docs/transformers/main/en/model_doc/resnet for Resnet model description. </br>
# Contents
- ONNX: resnext50.onnx
# Lecture note reference
- Aggregated Residual Transformations for Deep Neural Networks, https://arxiv.org/pdf/1611.05431.pdf
# Repository or links references
- https://pytorch.org/vision/stable/models/generated/torchvision.models.resnext50_32x4d.html#torchvision.models.resnext50_32x4d
BibTeX entry and citation info
```
@article{DBLP:journals/corr/XieGDTH16,
author = {Saining Xie and
Ross B. Girshick and
Piotr Doll{\'{a}}r and
Zhuowen Tu and
Kaiming He},
title = {Aggregated Residual Transformations for Deep Neural Networks},
journal = {CoRR},
volume = {abs/1611.05431},
year = {2016},
url = {http://arxiv.org/abs/1611.05431},
eprinttype = {arXiv},
eprint = {1611.05431},
timestamp = {Mon, 13 Aug 2018 16:45:58 +0200},
biburl = {https://dblp.org/rec/journals/corr/XieGDTH16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
Author: nbouberbachene@kalrayinc.com |