Source: frugally-deep Section: libdevel Priority: optional Maintainer: The Debichem Group Uploaders: Andrius Merkys , Rules-Requires-Root: no Build-Depends: cmake, debhelper-compat (= 13), libeigen3-dev, libfplus-dev, nlohmann-json3-dev, Standards-Version: 4.6.2 Homepage: https://github.com/Dobiasd/frugally-deep Vcs-Browser: https://salsa.debian.org/debichem-team/frugally-deep Vcs-Git: https://salsa.debian.org/debichem-team/frugally-deep.git Package: libfdeep-dev Architecture: all Depends: ${misc:Depends}, Description: use Keras models in C++ frugally-deep is a small header-only library written in modern and pure C++. It supports inference for sequential models and computational graphs with a more complex topology, created with the functional API. It re-implements a small subset of TensorFlow, i.e., the operations needed to support prediction. frugally-deep results in a much smaller binary size than linking against TensorFlow. It avoids temporarily allocating additional RAM during convolutions (by not materializing the im2col input matrix).