Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks

Yuxuan Jiang, Ziming Zhou, Boyu Xu +3

Training deep learning (DL) models is a complex process, making it prone to silent errors that are challenging to detect and diagnose. This paper presents TRAINCHECK, a framework t…