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https://github.com/pierric/neural-network

Neural network framework in Haskell
https://github.com/pierric/neural-network

haskell neural-network

Last synced: 2 months ago
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Neural network framework in Haskell

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# 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
- Please see https://docs.haskellstack.org/en/stable/README/

## 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
- mingw-w64-x86_64-binutils < 2.27-2
- ghc <= 8.0.1 (because it is bundled with old binutils)
- stack resolver <= lts-7.14 (because it imples ghc <= 8.0.1)
- See bug report here https://ghc.haskell.org/trac/ghc/ticket/8974