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---
license: apache-2.0
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---
# Introduction
This repository stores the model for Mobilenet-v1, 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/mobilenet_v1 for Mobilenet-v1 model description. </br>
# Contents
- Tensorflow: mobilenet-v1-mlperf.pb
- TFlite: mobilenet-v1-mlperf.tflite
# Lecture note reference
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications, https://arxiv.org/pdf/1704.04861.pdf
# Repository or links references
- [Tensorflow(code)](https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.py)
- [Tensorflow(tgz)](http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz)
BibTeX entry and citation info
```
@article{DBLP:journals/corr/HowardZCKWWAA17,
author = {Andrew G. Howard and
Menglong Zhu and
Bo Chen and
Dmitry Kalenichenko and
Weijun Wang and
Tobias Weyand and
Marco Andreetto and
Hartwig Adam},
title = {MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
Applications},
journal = {CoRR},
volume = {abs/1704.04861},
year = {2017},
url = {http://arxiv.org/abs/1704.04861},
eprinttype = {arXiv},
eprint = {1704.04861},
timestamp = {Thu, 27 May 2021 16:20:51 +0200},
biburl = {https://dblp.org/rec/journals/corr/HowardZCKWWAA17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
Authors:
+ [email protected]
+ [email protected] |