Can anybody suggest me tutorial, book, blog or share code sample for neural networks in Haskell ? I have experience in neural networks in imperative languages, but I want try that in Haskell.
There are several libraries on Hackage:
HaskellNN A Haskell library which uses hmatrix (and, transitively, GSL and libLBFGS C libraries) to do heavy lifting (GPL). Claims to be fast.
instinct A pure-Haskell library which claims to be fast (BSD).
hnn A minimal Haskell Neural Network Library (LGPL).
bindings-fann Bindings to FANN library.
hfann Other bindings to FANN library.
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