| commit | fc4d118e6b7060248eea9e0934b2adc7dec0027a | [log] [tgz] |
|---|---|---|
| author | Kun Han <hankun@fb.com> | Thu Jun 01 14:28:19 2017 -0700 |
| committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | Thu Jun 01 14:31:53 2017 -0700 |
| tree | 45f6dc996fb2f190dd61c19d71935bfaa1d4f022 | |
| parent | 299f293cb2c32f2ed763e996171f3b62037206fd [diff] |
Caffe2 MemNN Production Model Saving Summary: Split the Caffe2 memory based model into to parts - Dimension reduction MLP - DNN with concatenation of memory and obj feature Currently only implement simple mean Differential Revision: D4866825 fbshipit-source-id: d2f6813402513ec9af30dbe29a50593e2d3cdb3b
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.
Caffe2 Bay Area Meetup at NVIDIA, May 31 6-8:30, Santa Clara, CA: https://www.meetup.com/Caffe2-Bay-Area/events/239836290/
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Please use Github issues (https://github.com/caffe2/caffe2/issues) to ask questions, report bugs, and request new features.
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Caffe2 is released under the BSD 2-Clause license.
| Target | Status |
|---|---|
| Linux | |
| Android | |
| iOS | |
| Linux + MKL |