Karpathy's neural net training recipe still holds: errors can hide for a long time
iScienceLuvr · x · 2026-08-29
The author revisits Karpathy's recipe for training neural networks, highlighting one lesson felt viscerally recently: neural network training can be surprisingly resilient, and an error in your pipeline may go unnoticed for a very long time — loss still goes down, everything looks fine, but the setup may be wrong. A reminder to stay skeptical and add sanity checks.
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