Watch now: Deep Learning: Regularization – Part 1 (WS 20/21)
This video discusses the problem of over- and underfitting. In order to get a better understanding, we explore the bias-variance trade-off and look into the effects of training data size and the number of parameters.
FAU TV (no memes)
Read the Transcript (Summer 2020) at:
Towards Data Science