A neural network, written in Ruby
A feedforward neural network with resilient backpropagation (Rprop). It's ~250 loc, 100% Ruby, with no external dependencies.
This implementation trains significantly faster than ai4r's backpropagation neural network, mainly because the Rprop training algorithm implemented here is much faster than the non-batch backpropagation algorithm used in ai4r.
However, this implementation is significantly slower than ruby-fann, which wraps the FANN library, written in C. If you're looking for something production-ready, check out ruby-fann.
iris.rb
: solves a simple classification problem: predict the species of iris flower based on sepal and petal size.mpg.rb
: solves a simple regression problem: predict the miles per gallon of a car based on car attributes.mnist.rb
: performs OCR on handwritten digits. Requires download of MNIST dataset; see instructions at top of file.MIT