A basic Neural Network designed to train on MNIST data. It is a simple network with 2 hidden layers. The optimization is done via feed forward and backpropogation using a squared error cost function and sigmoid neurons.
Built using the formulas found in this book.
Download the MNIST data in CSV format here.
- GNU GSL (GNU Scientific Library)