Deep Learning: Regularization - Part 1
Channel: Andreas Maier
Date: 09/05/2020

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.

Full Transcript
https://towardsdatascience.com/regularization-part-1-db408819b20f

Video References:
Lex Fridman's Channel
https://www.youtube.com/channel/UCSHZKyawb77ixDdsGog4iWA

Further Reading:
A gentle Introduction to Deep Learning
https://www.sciencedirect.com/science/article/pii/S093938891830120X

Further Free Deep Learning Ressources (including programming exercises)
https://lme.tf.fau.de/teaching/free-deep-learning-resources/