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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Video References:
Lex Fridman's Channel
Shape Autoencoders

Music References
Shinigami by XTaKeRuX

Further Reading:
A gentle Introduction to Deep Learning