MxNet #Project Templates for building and training deep learning solution using powerful MxNet in C#.
MxNet.Sharp is a CSharp binding coving all the Imperative, Symbolic and Gluon API's with an easy to use |
Apache MXNet (incubating) for Deep LearningApache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. MxNet.Sharp MxNet.Sharp is a CSharp binding coving all the Imperative, Symbolic and Gluon API's with an easy to use interface. The Gluon library in Apache MXNet provides a clear, concise, and simple API for deep learning. It makes it easy to prototype, build, and train deep learning models without sacrificing training speed. High Level Arch
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