Hype 0.1.2

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).

There is a newer version of this package available.
See the version list below for details.
Install-Package Hype -Version 0.1.2
dotnet add package Hype --version 0.1.2
<PackageReference Include="Hype" Version="0.1.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Hype --version 0.1.2
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Release Notes

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Version History

Version Downloads Last updated
0.1.3 764 12/26/2015
0.1.2 371 12/15/2015
0.1.1 342 12/6/2015
0.1.0 320 11/16/2015