UNPKG

react-native-caffe2

Version:

### Bring deep learning to mobile in 2 minutes 📱🥂

34 lines (21 loc) • 1.69 kB
# Caffe2 [![TravisCI Build Status](https://travis-ci.org/caffe2/caffe2.svg?branch=master)](https://travis-ci.org/caffe2/caffe2) [![Appveyor Build Status](https://ci.appveyor.com/api/projects/status/github/caffe2/caffe2?svg=true)](https://ci.appveyor.com/project/Yangqing/caffe2) Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original [Caffe](http://caffe.berkeleyvision.org), Caffe2 is designed with expression, speed, and modularity in mind. ## News and Events [Caffe2 research award competition request for proposals](https://research.fb.com/programs/research-awards/proposals/caffe2-request-for-proposals/) ## Questions and Feedback Please use Github issues (https://github.com/caffe2/caffe2/issues) to ask questions, report bugs, and request new features. Please participate in our survey (https://www.surveymonkey.com/r/caffe2). We will send you information about new releases and special developer events/webinars. ## License and Citation Caffe2 is released under the [BSD 2-Clause license](https://github.com/Yangqing/caffe2/blob/master/LICENSE). ### Further Resources on [Caffe2.ai](http://caffe2.ai) * [Installation](http://caffe2.ai/docs/getting-started.html) * [Learn More](http://caffe2.ai/docs/learn-more.html) * [Upgrading to Caffe2](http://caffe2.ai/docs/caffe-migration.html) * [Datasets](http://caffe2.ai/docs/datasets.html) * [Model Zoo](http://caffe2.ai/docs/zoo.html) * [Tutorials](http://caffe2.ai/docs/tutorials.html) * [Operators Catalogue](http://caffe2.ai/docs/operators-catalogue.html) * [C++ API](http://caffe2.ai/doxygen-c/html/classes.html) * [Python API](http://caffe2.ai/doxygen-python/html/namespaces.html)