gradient-monitoring

The author shares lessons from building NeuralDBG, an open-source debugger for PyTorch training loops that detects localized failures like vanishing/exploding gradients by monitoring per-layer gradient norm transitions instead of global loss. Practical code snippets and community questions are included.