Info
| Version: | 2.0.0.2-alpha |
| Author(s): | @deepakkumar1984, @horker |
| Last Update: | Sunday, April 18, 2021 |
| .NET Fiddle: | Create the first Fiddle |
| Project Url: | https://github.com/deepakkumar1984/MxNet.Sharp/ |
| NuGet Url: | https://www.nuget.org/packages/MxNet.Sharp |
Install
Install-Package MxNet.Sharp
dotnet add package MxNet.Sharp
paket add MxNet.Sharp
MxNet.Sharp Download (Unzip the "nupkg" after downloading)
Dependencies
- CsvHelper(>= 15.0.5)
- Newtonsoft.Json(>= 12.0.3)
- NumpyDotNet(>= 0.9.42)
- OpenCvSharp4.Windows(>= 4.3.0.20200405)
- System.Memory(>= 4.5.4)
Tags
NDArray, Symbolic and Gluon Supported
MxNet 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 is more than a deep learning project. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.