Predicting Professional Players' Chess Moves with Deep Learning

My dad taught me when I was young, but I guess he was one of those dads who always let their kid win. To compensate for this lack of skill in one of the world's most popular games, I did what any data science lover would do: build an AI to beat the people I couldn't beat. But I wanted to see how a chess engine would do without reinforcement learning as well as learn how to deploy a deep learning model to the web. FICS has a database of 300 million games, individual moves made, the results, and the rating of the players involved. I downloaded all the games in 2012 where at least one player was above 2000 ELO.