Deep Learning: Regularization - Part 2 (WS 20/21)
Channel: Andreas Maier
Date: 25/11/2020

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.

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Full Transcript (Summer 2020)
https://towardsdatascience.com/regularization-part-2-5b729698d026

Video References:
Lex Fridman's Channel
https://www.youtube.com/channel/UCSHZKyawb77ixDdsGog4iWA
Shape Autoencoders https://youtu.be/25xQs0Hs1z0

Music References
Shinigami by XTaKeRuX https://freemusicarchive.org/music/XTaKeRuX/Empty_Grave/Shinigami

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/