Image Classification
TF Lite
ONNX

Introduction

This repository stores the model for Mobilenet-v1, compatible with Kalray's neural network API.
Please see www.github.com/kalray/kann-models-zoo for details and proper usage.
Please see https://huggingface.co/docs/transformers/main/en/model_doc/mobilenet_v1 for Mobilenet-v1 model description.

Contents

  • Tensorflow: mobilenet-v1-mlperf.pb
  • TFlite: mobilenet-v1-mlperf.tflite
  • ONNX: mobilenet-v1.onnx (converted with onnx2tf)

Lecture note reference

Repository or links references

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:

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