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AML: Generalisation - What is it? duration 11 minutes 22 seconds AML: Generalisation - What is it? AML: Generalisation - What is it?	AML: Generalisation - What is it? Applied Machine Learning - INFR11211 AML: Generalisation - What is it? Part 1/3 model capacity training regularities test error degree parameters generalisation polynomial flexibility point space examples lot reason linear hyperparameter hyperparameters dataset From Siddharth N 3 likes 389 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
Nicolas Meyer EVA Talk Preview duration 2 minutes 19 seconds Nicolas Meyer EVA Talk Preview Nicolas Meyer EVA Talk Preview	Nicolas Meyer EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Nicolas Meyer Talk Title: Multivariate sparse clustering for extremes Abstract: Studying the tail dependence… solution theory icms eva multivariate sparse clustering extremes simplex vector projection method clusters points definition distribution variation axis datasets hyperparameter algorithm values threshold procedure selection model medina From Anna Munro 0 likes 34 plays 0 Licence Type All rights reserved Language English
MLP Lecture 05 - Clip 07 - Adam duration 2 minutes 39 seconds MLP Lecture 05 - Clip 07 - Adam MLP Lecture 05 - Clip 07 - Adam	MLP Lecture 05 - Clip 07 - Adam Machine Learning Practical (MLP) Lecture 05, Clip 07 / 07. machine learning deep learning momentum rms prop alpha gradient hyperparameters magnitudes minus adam hinton geoffrey networks techniques art gradients importance values hyperparameter change si From Pavlos Andreadis 2 likes 368 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
MLP Lecture 05 - Clip 02 - Setting learning rate duration 4 minutes 39 seconds MLP Lecture 05 - Clip 02 - Setting learning rate MLP Lecture 05 - Clip 02 - Setting learning rate	MLP Lecture 05 - Clip 02 - Setting learning rate Machine Learning Practical (MLP) Lecture 05, Clip 02 / 07. machine learning deep learning learning hyperparameters rate beginning training gradient weights update hyperparameter methods ways strategy kind layers thing things network weight descent default From Pavlos Andreadis 1 likes 482 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English