Skip to content

Latest commit

 

History

History
15 lines (9 loc) · 487 Bytes

README.md

File metadata and controls

15 lines (9 loc) · 487 Bytes

League of Legends: Tensorflow

Summary

A deep neural-network project that takes as input both team's compositions, and predicts which team will win.

Details

  • Uses Tensorflow's neural network API to construct the model
  • Currently at around 76% accuracy with test data
  • Has a data crawler that uses Riot Games' API to fetch recent matches from professional players

Credits

Inspired by my friend Zach's hackathon project at https://github.com/zgovani/lol-champion-picker