I took a graduate level course in machine learning from Dr. Mike Gashler at the University of Arkansas during the fall of 2016. Although we covered a spectrum of machine learning algorithms in the course it was predominantly focused on artificial neural network algorithms (algorithms that take inspiration from how neurons in our brains work). We had many coding assignments throughout the course and I built a small C++ library that implements a few machine learning algorithms. Feel free to checkout the code on github.
I used the this library to complete homework assignments and do a final project where I used a neural network model to predict the off center displacements of handwritten numbers (the MNIST data set which I modified). You can checkout my final report for this project here if you are interested.