18- Deep Learning/ClipID:21079 previous clip next clip

Recording date 2020-10-12

Course

Deep Learning

Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

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.

For reminders to watch the new video follow on Twitter or LinkedIn.

Video References:
Lex Fridman's Channel
Shape Autoencoders

Music References
Shinigami by XTaKeRuX

Further Reading:
A gentle Introduction to Deep Learning

Up next

Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login

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