README.md

---
license: mit
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---

# Introduction

This repository stores the model for Efficientnetlite-b4, 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/efficientnet for Efficientnet model description. </br>

# Contents

- ONNX:   efficientnet-lite4-s.onnx
- Quantized ONNX: efficientnet-lite4-s-q.onnx

# Lecture note reference

- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks, https://arxiv.org/pdf/1905.11946

# Repository or links references

- https://github.com/onnx/models/blob/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/efficientnet-lite4/model/efficientnet-lite4-11.onnx

BibTeX entry and citation info
```
@article{DBLP:journals/corr/abs-1905-11946,
  author       = {Mingxing Tan and
                  Quoc V. Le},
  title        = {EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks},
  journal      = {CoRR},
  volume       = {abs/1905.11946},
  year         = {2019},
  url          = {http://arxiv.org/abs/1905.11946},
  eprinttype    = {arXiv},
  eprint       = {1905.11946},
  timestamp    = {Mon, 03 Jun 2019 13:42:33 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1905-11946.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
```

Authors: [email protected], [email protected]