Introduction As a deep learning practitioner, it can be hard not to spend a great deal of time and energy tuning and re-tuning a model. What if I just change the learning rate a little? What if I alter the architecture to implement this cool new feature I read about today? There are near-infinite ways to tweak a model and squeeze out just a little more performance. However, this is often not...