High Performance Neural Network in Haskell
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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)
AI.Model
Other modules are provided for user expansion if needed
Go to https://github.com/ktklam9/HaskellNN for examples and tests for usage