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Monthly Downloads: 12
Programming language: Haskell
License: BSD 3-clause "New" or "Revised" License
Tags: AI     Neural    
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README

neural-network

Neural network framework in Haskell

Packages included

  • Base. This package defines the abstract neural-network, and a extendable specification of layers.
  • Backend-hmatrix. This package implements the full-connect layer and convolution layer based on hmatrix library. It has a simple and plain representation but some issues in both time and space efficiency.
  • Backend-blashs. This package implements the full-connect layer and convolution layer based on blas-hs library. A imperative interface for manipulating dense vector and matrix is devised for better storage utilization.

Build with stack tool

Additional notes on build

Linux

  • with openblas flag true in the flags section, please install the openblas by the official package management.
    • or else, install blas/lapack package.

Windows

  • Download OpenBLAS from http://www.openblas.net/
  • Modify the following fields in the stack.yaml
    • extra-include-dirs: path-to-include-dir-of-openblas
    • extra-lib-dirs: path-to-lib-dir-of-openblas

Utilizing SIMD

  • The vec128 flag for neural-network-blashs can be turned on, and many operations will utilize SIMD for better performance. yaml neural-network-blashs: vec128: true
  • The flags vec256 and vec512 cause segment-fault for the moment.

  • A known bug on windows. vec128 implies compiler option -fllvm for ghc. However due to a known bug of binutils on mingw-w64, this option leads to a segment fault