High Performance Neural Network in Haskell

Latest on Hackage:0.1.3

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GPL licensed by Kiet Lam
Maintained by Kiet Lam

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

Depends on:
Used by 1 package:
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