| --- |
| license: apache-2.0 |
| datasets: |
| - ILSVRC/imagenet-1k |
| pipeline_tag: image-classification |
| --- |
| # Introduction |
|
|
| This repository stores the model for Squeezenet, 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: squeezenet-v1.onnx |
| - Quantized ONNX (INT8): squeezenet-v1-q.onnx |
|
|
| # Lecture note reference |
|
|
| - https://arxiv.org/pdf/1602.07360 |
|
|
| # Repository or links references |
|
|
| - [ONNX](https://github.com/onnx/models/blob/main/validated/vision/classification/squeezenet/README.md) |
|
|
| BibTeX entry and citation info |
| ``` |
| @article{ DBLP:journals/corr/IandolaMAHDK16, |
| author = {Forrest N. Iandola and |
| Matthew W. Moskewicz and |
| Khalid Ashraf and |
| Song Han and |
| William J. Dally and |
| Kurt Keutzer}, |
| title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and {\textless}1MB |
| model size}, |
| journal = {CoRR}, |
| volume = {abs/1602.07360}, |
| year = {2016}, |
| url = {http://arxiv.org/abs/1602.07360}, |
| eprinttype = {arXiv}, |
| eprint = {1602.07360}, |
| timestamp = {Fri, 20 Nov 2020 16:16:06 +0100}, |
| biburl = {https://dblp.org/rec/journals/corr/IandolaMAHDK16.bib}, |
| bibsource = {dblp computer science bibliography, https://dblp.org} |
| } |
| ``` |
|
|
| Authors: |
| + qmuller@kalrayinc.com |
| + nbouberbachene@kalrayinc.com |
