This is (so far partial) a Julia implementation of the neural network that was originally written for MATLAB/Octave by Andrew Ng for Coursera Machine Learning Class. My implementation is hopefully more versatile for more than one layer.
- There is a
nnCostFunction(see the sourcefile for documentation) which seems to be working, output is (cost, array of gradients)
- I was unable to use the optim.jl to make it iterate
- Add the checking gradient
- Just download and include
load("neuralnetworks.jl")in your source