Image Classification
ONNX
nasnet / README.md
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---
license: apache-2.0
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---
# Introduction
This repository stores the model for Nasnet, compatible with Kalray's neural network API. </br>
Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
# Contents
- ONNX: mnasnet-1.0.onnx
- Quantized ONNX (INT8): mnasnet-1.0-q.onnx
# Lecture note reference
- MnasNet: Platform-Aware Neural Architecture Search for Mobile, https://arxiv.org/pdf/1807.11626.pdf
# Repository or links references
- [PyTorch | TorchVision](https://pytorch.org/vision/stable/models/generated/torchvision.models.mnasnet1_0.html#torchvision.models.mnasnet1_0)
BibTeX entry and citation info
```
@article{DBLP:journals/corr/abs-1807-11626,
author = {Mingxing Tan and
Bo Chen and
Ruoming Pang and
Vijay Vasudevan and
Quoc V. Le},
title = {MnasNet: Platform-Aware Neural Architecture Search for Mobile},
journal = {CoRR},
volume = {abs/1807.11626},
year = {2018},
url = {http://arxiv.org/abs/1807.11626},
eprinttype = {arXiv},
eprint = {1807.11626},
timestamp = {Mon, 31 May 2021 15:34:33 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1807-11626.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
Authors:
+ qmuller@kalrayinc.com
+ nbouberbachene@kalrayinc.com