Maximizing Edge TPU Performance: Building a 2.5ms Stock Predictor

This project demonstrates how to overcome the limitations of legacy AI hardware by choosing architectures like Conv1D that align with specialized silicon constraints. It highlights that high-performance edge computing relies on strategic software-hardware mapping rather than raw processing power alone.