A-Neural

A-Neural is a simple neural network for detecting the letter "A" in an image. At this stage the project is more in proof-of-concept. The neural network is constructed and trained using the supplied hard-coded dataset (more on that later). It randomly partitions the examples and non-examples into training data and test data. It will then begin training and reporting on test case accuracy.

Installing

This project is written in Haskell. Install Haskell and cabal first. GHC 7.8.3 works fine.

• cabal sandbox init - make a sandbox
• cabal install - install dependencies (this may take a while)
• Install the Developer's Image Library (DevIL) https://directory.fsf.org/wiki/Developer's_Image_Library
• Place your examples of the letter A in src/res/A and examples of images that aren't A in src/res/not-A. For now, the images should be names A1.png, A2.png, ... A6.png and B1.png, B2.png, ... B7.png respectively. Images should be 16x16 pixel PNG images. Images are converted to greyscale and turned up to max contrast. I recommend using Ethan Jurman's repository to generate the images: https://github.com/ethanjurman/wordImage
• cabal build - build an executable

Running

cabal run - to run the program