Lecture - Theories of Deep Learning MT25, XV, A few things we missed and a summary

Created: November 18, 2025 | Read markdown | About these notes

Course - Theories of Deep Learning MT25^U
Dropout
Skip connections
Tokenisation
- Tokens are probably different in a chat context vs a coding context
How sparse can you make your nets before losing loads of accuracy?
Major omissions
- How well does depth improve generalisation error?

Course - Theories of Deep Learning MT25^U

(outgoing)
Lecture - Theories of Deep Learning MT25, XIII, Autoencoders^U

(sim: 0.664)
Paper - When and when can deep networks avoid the curse of dimensionality, Poggio (2016)^U

(sim: 0.608)
Notes - Computer Vision MT25, Dropout^U

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Lecture - Machine Learning MT23, XIV^U

(sim: 0.597)
Lecture - Machine Learning MT23, XVI^U

(sim: 0.595)