In this project, we focus on training and compressing a neural network to implement reliable channel codes for use in both simulated and real world communication scenarios. The project started with a large neural network that was developed by prof. Hyeji Kim and then compressed the neural network by changing hyperparameters, implementing distillation, and using single value decomposition to produce smaller and more efficient algorithms.

Team Members:

Nicky Dahl, Mathew Puente, Sam Rizzo, Ryan Root, Allen Shufer, Jonas Traweek