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

For example, building the package with SIMD-128

stack build --flag neural-network-blashs:vec128

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.

Utilizing SIMD

• The vec128 flag for neural-network-blashs can be turned on, and many operations will utilize SIMD for better performance.

    neural-network-blashs:
      vec128: true

• The flags vec256 and vec512 cause segment-fault for the moment.