8 Deep Learning Best Practices I Learned About in 2017

Something I was really happy about accomplishing in 2017 was getting more practically involved with modern AI. I've studied a lot of math, which has certainly been fun, but haven't done any practical projects, and therefore have nothing to show for my efforts. To remedy this, in April, I applied for an AI Grant with the aim of building FastText skip-gram models for Kenyan speech. I became a finalist in the first round, but failed to win a grant. Then, this September, I applied to the international fellowship track of a now-complete class on Practical Deep Learning for Coders, Part 1 v2, taught by Jeremy Howard of fast.ai.