Debug a Stalled Run
Debug a non-learning neural network in a disciplined order before changing architecture.
Stalled at chance Sam's classifier has run for three hours. Training accuracy is flat, validation is flat, and the team wants an architecture rewrite. A stalled run is usually a signal-path problem until proven otherwise. Debug order Batch -> tiny overfit -> loss/labels -> gradients/LR -> architecture Move from the easiest falsifiable checks to deeper changes. Each step proves that the next part of training can work. Rewrite Feels productive, often hides the real fault. Architecture changes happen after the signal path is clean. If the model cannot overfit a tiny clean batch, the full run is not an architecture…
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