This project creates a convolutional neural network, drawing inspiration from the sturcture of VGG-19.
Ideally, it will trian itself on a dataset of handwritten letters normally, and then be trained on top of that with an abnormally high training rate on letters that are written by a small number of people in order to overfit their data.
By doing this, it will be able to identify a piece of text as being written by one of them.