I found a simple [https://gist.github.com/sbugrov/7f373f0e4788f8e076b8efa2abfd227a neural network] that takes a MNIST data set and preforms training on batches of the data. For a quick illustration MNIST is a numerical data set that contains many written numbers --in a gray scale format at 28 x 28 pixels in size. As well as the corresponding numerical values; between 0 and 9. The reason for this data set is to train networks such that they will be able to recognize written numbers when they are confront them.