0.1.0

Added

• made into separate project
• set up repository with structure from "Good Enough Practices for Scientific Computing"
  https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510#sec009
• add ability to run learning curve to test whether train / test accuracy are converging
  • i.e. would we benefit from more training data
• can compute accuracy per epoch per set size on training set, saves to .txt file

Fixed

• __main__ checks whether config file exists and throws a human-readable error if it doesn't,
  as opposed to failing weirdly because ConfigParser doesn't tell you when the .ini file does not exist