Generalisation · Practice sheet · Underfit → Overfit → Bias–Variance → Double Descent
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deep learning · generalisation

Underfitting, Overfitting, and the Second Descent

Why a small training loss is not the same as having learned the function, how bias and variance split the blame, and why interpolating models are not automatically useless. Fill every blank by clicking. Nothing here is scored. Dotted terms carry an i — open it.

References: C. M. Bishop, Pattern Recognition and Machine Learning (2006), §§1.1 and 3.2; I. Goodfellow, Y. Bengio & A. Courville, Deep Learning (2016), §§5.2–5.4 and ch. 7; C. M. Bishop & H. Bishop, Deep Learning: Foundations and Concepts (2023), §§4.3 and 9.3.2; S. J. D. Prince, Understanding Deep Learning (2023/25), ch. 20. Double descent: Belkin et al. (2019); Nakkiran et al. (2020).