Deep Learning: Regularization - Part 2
Channel: Andreas Maier
Date: 10/05/2020

Deep Learning - Regularization Part 2

This video discusses classical regularization techniques such as early stopping using a validation set, augmentation, and maximum a-posteriori methods that expand the loss function using a regularization term.

Full Transcript
https://towardsdatascience.com/regularization-part-2-5b729698d026

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/