Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Trump pulls US out of more than 30 UN bodies ICE shooting ...

Abstract: Existing Data Parallel (DP) trainings for deep neural networks (DNNs) often experience limited scalability in speedup due to substantial communication overheads. While Overlapping technique ...

Modern blockchains use parallel execution to process many transactions without delays. Scaling methods reduce congestion fees and improve everyday app performance. Performance-focused designs support ...

Revisit classic RL algorithms across discrete and continuous control settings without relying on heavyweight frameworks. Compare tabular, value-based, and policy-gradient methods side by side with a ...