This repository stores the model for Googlenet, compatible with Kalray's neural network API.
Please see
www.github.com/kalray/kann-models-zoo
for details and proper usage.
@article{DBLP:journals/corr/SzegedyLJSRAEVR14,
author = {Christian Szegedy and
Wei Liu and
Yangqing Jia and
Pierre Sermanet and
Scott E. Reed and
Dragomir Anguelov and
Dumitru Erhan and
Vincent Vanhoucke and
Andrew Rabinovich},
title = {Going Deeper with Convolutions},
journal = {CoRR},
volume = {abs/1409.4842},
year = {2014},
url = {http://arxiv.org/abs/1409.4842},
eprinttype = {arXiv},
eprint = {1409.4842},
timestamp = {Mon, 13 Aug 2018 16:48:52 +0200},
biburl = {https://dblp.org/rec/journals/corr/SzegedyLJSRAEVR14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
googlenet huggingface.co is an AI model on huggingface.co that provides googlenet's model effect (), which can be used instantly with this Kalray googlenet model. huggingface.co supports a free trial of the googlenet model, and also provides paid use of the googlenet. Support call googlenet model through api, including Node.js, Python, http.
googlenet huggingface.co is an online trial and call api platform, which integrates googlenet's modeling effects, including api services, and provides a free online trial of googlenet, you can try googlenet online for free by clicking the link below.
Kalray googlenet online free url in huggingface.co:
googlenet is an open source model from GitHub that offers a free installation service, and any user can find googlenet on GitHub to install. At the same time, huggingface.co provides the effect of googlenet install, users can directly use googlenet installed effect in huggingface.co for debugging and trial. It also supports api for free installation.