Deep Learning - Regularization Part 1
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 number of parameters.
Video References:
Lex Fridman's Channel
Further Reading:
A gentle Introduction to Deep Learning