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Description

High Performance Neural Network in Haskell.

High Performance Neural Network in Haskell

Provides fast training algorithms using hmatrix's bindings to GSL and custom bindings to the liblbfgs C-library

Supported training algorithms: Gradient Descent, Conjugate Gradient, BFGS, LBFGS

  • Users should focus on AI.Model for most usages (classification / regression)

  • Other modules are provided for user expansion if needed

Go to https://github.com/ktklam9/HaskellNN for examples and tests for usage

Metadata

Version

0.1.3

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
    GHCJS
    Linux
    MMIXware
    NetBSD
    none
    OpenBSD
    Redox
    Solaris
    WASI
    Windows
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