| | --- |
| | license: apache-2.0 |
| | datasets: |
| | - ILSVRC/imagenet-1k |
| | pipeline_tag: image-classification |
| | --- |
| | |
| | # Introduction |
| |
|
| | This repository stores the model for Efficientnet-b0, 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-b0.onnx |
| | - Quantized ONNX (INT8): efficientNet-b0-q.onnx |
| | |
| | # Lecture note reference |
| | |
| | - EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks, https://arxiv.org/pdf/1905.11946 |
| | |
| | # Repository or links references |
| | |
| | - [PyTorch | TorchVision](https://pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_b0.html#torchvision.models.efficientnet_b0) |
| | |
| | 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: |
| | + qmuller@kalrayinc.com |
| | + nbouberbachene@kalrayinc.com |
