Hype: Compositional Machine Learning and Hyperparameter Optimization NuGet Package

Hype is a proof-of-concept deep learning library, where you can perform optimization on compositional machine learning systems of many components, even when such components themselves internally perform optimization.

This is enabled by nested automatic differentiation (AD) giving you access to the automatic exact derivative of any floating-point value in your code with respect to any other.

Underlying computations are run by a BLAS/LAPACK backend (OpenBLAS by default).



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Info

Version: 0.1.3
Author(s): Atılım Güneş Baydin, Barak A. Pearlmutter
Last Update: Saturday, December 26, 2015
.NET Fiddle: Create the first Fiddle
Project Url: http://hypelib.github.io/Hype/
NuGet Url: https://www.nuget.org/packages/Hype


Install
Install-Package Hype
dotnet add package Hype
paket add Hype
Hype Download (Unzip the "nupkg" after downloading)



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