Visual Debugging Tools Uncover Hidden Issues in ML Model Training
The article outlines how visual debugging—tracking loss curves, gradient flow, and embeddings—helps diagnose overfitting, vanishing gradients, and stalled learning. It reviews TensorBoard and comparable platforms, and shows how to capture internals using PyTorch hooks and breakpoints, giving practitioners actionable insights during training.