Understanding Deep Learning textbook updates chapter on measuring model performance
SimonPrinceAI · x · 2026-11-12
Simon Prince is gradually updating and improving chapters of his free textbook Understanding Deep Learning. The latest revision covers measuring trained-model performance, including noise/bias/variance, test error formulation, bias-variance trade-off, double descent, and hyperparameter selection — a solid free reference for learners and instructors.
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