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 the number of parameters.

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Video References:
Lex Fridman's Channel

Further Reading:
A gentle Introduction to Deep Learning