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02:39 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 on October 18th, 2020 1 likes 58 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
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 60 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
05:04 MLP Lecture 05 - Clip 05 - AdaGrad MLP Lecture 05 - Clip 05 - AdaGrad	MLP Lecture 05 - Clip 05 - AdaGrad Machine Learning Practical (MLP) Lecture 05, Clip 05 / 07. machine learning deep learning learning gradients rate surface optimization rates si space papers issue schedules magnitudes iteration beta parameter weight intuition gradient end norway From Pavlos Andreadis on October 18th, 2020 1 likes 67 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 69 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
05:28 MLP Lecture 05 - Clip 03 - Learning rate schedules MLP Lecture 05 - Clip 03 - Learning rate schedules	MLP Lecture 05 - Clip 03 - Learning rate schedules Machine Learning Practical (MLP) Lecture 05, Clip 03 / 07. machine learning deep learning rate error learning validation eta linear function generalization training rates cosine methods iteration gradient schedules goal minimum t. convergence schedule From Pavlos Andreadis on October 18th, 2020 1 likes 65 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 67 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
11:04 MLP Lecture 04 - Clip 05 - L1&L2… MLP Lecture 04 - Clip 05 - L1&L2 Regularisation	MLP Lecture 04 - Clip 05 - L1&L2 Regularisation Machine Learning Practical (MLP) Lecture 04, Clip 05 / 05. machine learning deep learning weights weight function regularization error gradient term decay sum images space network thing difference pizza rate training entropy classification image From Pavlos Andreadis on October 11th, 2020 1 likes 123 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
13:11 MLP Lecture 04 - Clip 01 - Activation Functions MLP Lecture 04 - Clip 01 - Activation Functions	MLP Lecture 04 - Clip 01 - Activation Functions Machine Learning Practical (MLP) Lecture 04, Clip 01 / 05. machine learning deep learning function activation units gradient functions output network alpha problem linear networks sigmoids sigmoid inputs input thing minus gradients saturation things From Pavlos Andreadis on October 11th, 2020 1 likes 143 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
50:45 Christian Lubich 5th October Convergent evolving… Christian Lubich 5th October Convergent evolving surface finite element algorithms for geometric evolution equations	Christian Lubich 5th October Convergent evolving surface finite element algorithms for geometric evolution equations ICMS OWNA icms owna surface curvature vector flow velocity element equations equation norm method evolution talk discretization gradient algorithm formulation matrix position surfaces h. From ALASDAIR SPRATT on October 5th, 2020 0 likes 15 plays 1 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created October 5th, 2020
19:32 Medical Sciences 1: How does the CNS work? Part 3… Medical Sciences 1: How does the CNS work? Part 3 Dr Phil Larkman	Medical Sciences 1: How does the CNS work? Part 3 Dr Phil Larkman Ion channels and neuronal excitability - the resting and action potentials. potential membrane channels potassium action sodium cell channel axon equilibrium ions ion change neurons depolarization voltage gradient concentration millivolts neuron From Philip Larkman on September 25th, 2020 0 likes 66 plays 0 Licence Type Creative Commons - Attribution
12:25 Topic 21: Probability Transformation Rule and… Topic 21: Probability Transformation Rule and Its Applications (PETARS, Chapter 4)	Topic 21: Probability Transformation Rule and Its Applications (PETARS, Chapter 4) This video introduces the probability transformation rule, for finding the probability density function of the mapping of another random variable. A derivation of the transformation rule is… pgee11164 output probability input pdf interval intervals x. function density gradient distribution transformation minus y. variable expression delta infinity log roots From James Hopgood on September 5th, 2020 0 likes 72 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 5th, 2020
10:00 Lecture 2 Part 2: Boundary Conditions Lecture 2 Part 2: Boundary Conditions	Lecture 2 Part 2: Boundary Conditions In the second part of this lecture we look at a the use of boundary conditions expressed as both initial value and boundary value problems to find the unknown coefficients in the general solution and… differential equations solution equation conditions problem meters cannonball lecture differential velocity root seconds condition values decay equals gradient ship canon minus displacement From David Ingram on July 6th, 2020 0 likes 4 plays 0 Course Code SCEE08009 Licence Type Creative Commons - Attribution Language English Date Created June 25th, 2020
04:52 Preliminaries - perceptrons Preliminaries - perceptrons	Preliminaries - perceptrons Preliminaries - perceptrons iaml neural networks perceptron function regression 990s computer perceptrons hat gradient kind minus step sigmoid networks bit update direction rosenblatt rule architecture linear From Nigel Goddard on November 12th, 2016 1 likes 1,380 plays 0 Licence Type Creative Commons - Attribution
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 845 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 1,907 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 1,627 plays 0 Licence Type Creative Commons - Attribution

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