Download
Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can run multiple predictions in parallel, thus utilizing as many CPUs as you like to improve the overall prediction throughput of your application/pipeline.
Features
- Is a small header-only library written in modern and pure C++
- Very easy to integrate and use
- Depends only on FunctionalPlus, Eigen and json - also header-only libraries
- Supports inference (model.predict) not only for sequential models but also for computational graphs with a more complex topology, created with the functional API
- Re-implements a (small) subset of TensorFlow, i.e., the operations needed to support prediction
- Results in a much smaller binary size than linking against TensorFlow
Project Samples
Categories
LibrariesLicense
MIT LicenseFollow frugally-deep
Other Useful Business Software
Our Free Plans just got better! | Auth0
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of frugally-deep!
