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03:47 MLP Lecture 05 - Clip 06 - RMSProp MLP Lecture 05 - Clip 06 - RMSProp	MLP Lecture 05 - Clip 06 - RMSProp Machine Learning Practical (MLP) Lecture 05, Clip 06 / 07. machine learning deep learning gradient learning beta average sum descent batch gradients networks ziggurats beginning times hyperparameters prop rms magnitude weight idea rate graph From Pavlos Andreadis on October 18th, 2020 1 likes 106 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
03:17 MLP Lecture 05 - Clip 04 - Momentum MLP Lecture 05 - Clip 04 - Momentum	MLP Lecture 05 - Clip 04 - Momentum Machine Learning Practical (MLP) Lecture 05, Clip 04 / 07. machine learning deep learning gradients momentum history average idea optimization direction iteration update wi descent gradient velocity loss stability bit space weight eye sense From Pavlos Andreadis on October 18th, 2020 1 likes 121 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
04:39 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 on October 18th, 2020 1 likes 131 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
01:01:45 Prof. Agustin Fuentes - Who are we_ Belief,… Prof. Agustin Fuentes - Who are we_ Belief, evolution, and our place in the world	Prof. Agustin Fuentes - Who are we_ Belief, evolution, and our place in the world Prof. Agustin Fuentes - Who are we_ Belief, evolution, and our place in the world d.n.a. speaker 2 speaker 1 human evolution evolutionary biology human behavior phylogenetics scientific analysis fig tree kinship and descent 2000000 years social system scottish thinkers population genetics genus homo lithics effects primates human capacity cognition gifford lectures fossil record research methods earliest hominids philosophical terminology direct ancestor living things human experience social sciences sociology genetics brain size california berkeley stone tool great time complex social lives philosophy of religion belief systems early hominids anthropology academic staff 6000000 year william robertson eating behaviors cercopithecine monkeys religion and science ethology archaeological artefact types audience member u.k. family creativity large cat tools landscape statistics neurobiology grasping hands macaque monkeys notre dame good deal sociological terminology d.n.a. sequence term belief sociology index people movement hominin fossils 3000000 years common ancestor psychotherapy gifford lecture genealogy early cluster recent single origin hypothesis behavior specific lineage minute details large predators personal life genetic genealogy education terminology caption complete contemporary society social landscape social philosophy social psychology 1st evidence faith practices deep roots evolutionary processes daily lives psychology educational psychology 4000000 years analysis speeding cars academic administration coming lectures evaluation methods human story archaeology From Lesley Middlemass on April 9th, 2019 0 likes 18 plays 0 Licence Type All rights reserved The University of Edinburgh
07:33 Training an ANN Training an ANN	Training an ANN Training an ANN iaml neural networks weight gradient error minima output backpropagation respect network networks descent derivative thing class regression training algorithm units weights probability optimization From Nigel Goddard on September 25th, 2016 1 likes 850 plays 0 Licence Type Creative Commons - Attribution
06:39 Batch and Online Learning Batch and Online Learning	Batch and Online Learning Batch and Online Learning iaml optimisation training instance instances sum batch descent move learning gradient errors track numbers error lot extremes step space parameter gradients kind From Nigel Goddard on September 18th, 2016 1 likes 1,973 plays 0 Licence Type Creative Commons - Attribution
06:55 Gradient Descent Problems Gradient Descent Problems	Gradient Descent Problems Gradient Descent Problems iaml optimisation gradient valley descent error minimum parameter direction kind thing surface momentum temperature respect problem methods lot times point sides annealing From Nigel Goddard on September 18th, 2016 1 likes 1,688 plays 0 Licence Type Creative Commons - Attribution
01:20 Gradient Descent Algorithm Gradient Descent Algorithm	Gradient Descent Algorithm Gradient Descent Algorithm iaml optimisation gradient direction descent instability iterations steps methods rate learning size step amount algorithm things calculus theorem taylor mathematics choice From Nigel Goddard on September 18th, 2016 1 likes 1,811 plays 0 Licence Type Creative Commons - Attribution
03:02 Role of Derivatives Role of Derivatives	Role of Derivatives Role of Derivatives iaml optimisation error derivatives vector direction respect gradient weights thing things descent grad w. function bit point idea space minute question step From Nigel Goddard on September 18th, 2016 1 likes 1,731 plays 0 Licence Type Creative Commons - Attribution
00:42 Topic Overview Topic Overview	Topic Overview Topic Overview iaml optimisation approaches optimization practice ways couple descent gradient class kind approach problem frame learning machine bit From Nigel Goddard on September 18th, 2016 1 likes 1,980 plays 0 Licence Type Creative Commons - Attribution

Search for tag: "descent"

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