Search for tag: "units"

23 Media

10:38 MLP Lecture 05 - Clip 01 - Dropout MLP Lecture 05 - Clip 01 - Dropout	MLP Lecture 05 - Clip 01 - Dropout Machine Learning Practical (MLP) Lecture 05, Clip 01 / 07. machine learning deep learning units network dropout intestine training output dropouts batch activations input mini function activation inputs networks drop problem generalization subnetwork combination From Pavlos Andreadis on October 18th, 2020 1 likes 125 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
26:51 T2_1_Unit_Testing T2_1_Unit_Testing	T2_1_Unit_Testing This lecture covers Unit Testing and provides several examples of using the xUnit framework. In particular we look at an API of a bounded queue data structure. unit testing xunit bounded queue test tests unit function queue testing frameworks functions framework boundaries length fibonacci language functionality languages cases input elements element units From Evgenij Belikov on October 11th, 2020 0 likes 24 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution Non Commercial Share A Like Language English
12:06 MLP Lecture 04 - Clip 04 - Overtraining &… MLP Lecture 04 - Clip 04 - Overtraining & Early stopping	MLP Lecture 04 - Clip 04 - Overtraining & Early stopping Machine Learning Practical (MLP) Lecture 04, Clip 04 / 05. machine learning deep learning network training validation idea weights error point units connections networks lectures things strategy generalization gap curve iterations image output input From Pavlos Andreadis on October 11th, 2020 1 likes 146 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 155 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
31:29 Lecture 3 Water Turbine Selection Lecture 3 Water Turbine Selection	Lecture 3 Water Turbine Selection David Williams describes water turbines and how to select them. hydropower hydropower turbine selection turbine runner speed water flow turbines types range francis spear control inlet unit impulse guide operation valve units rate From Gareth Harrison on September 23rd, 2020 0 likes 38 plays 0 Course Code SCEE11014 Publisher Gareth Harrison Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created September 23rd, 2020
18:24 RMS2 (20-21): 2.1 RMS2 (20-21): 2.1	RMS2 (20-21): 2.1 Research Methods & Statistics 2 (20-21) Week 2 Lecture 1 model coefficients variables deviation linear test units unit coefficient interpretation scale beta scales standardization hours object variable effect score scores From Josiah King on September 20th, 2020 0 likes 360 plays 0 Licence Type All rights reserved The University of Edinburgh
36:39 Acute kidney injury (AKI, ARF) for postgraduates Acute kidney injury (AKI, ARF) for postgraduates	Acute kidney injury (AKI, ARF) for postgraduates A talk on Acute Kidney Injury* aimed at postgradute doctors training in Internal Medicine, or other postgrads. Misses out some of the undergrad detail of principles, which should soon be appearing at… aki arf renal patients dialysis studies care things lot disease failure kidney blood kidneys drugs evidence risk lots bit units ace staff From Neil Turner on September 16th, 2020 0 likes 13 plays 0 Licence Type Creative Commons - Attribution Language English Date Created September 16th, 2020
19:05 dapR2 (20-21): 3.3 dapR2 (20-21): 3.3	dapR2 (20-21): 3.3 Data Analysis in Psychology in R 2, 2020/21.Week 3Lecture 3 model coefficients variables deviation linear units coefficient test unit scale interpretation score beta scales scores standardization hours object study variable From Thomas Booth on September 14th, 2020 0 likes 246 plays 0 Licence Type All rights reserved The University of Edinburgh
43:12 Osamu Iyama - Contracted preprojective algebras,… Osamu Iyama - Contracted preprojective algebras, Coxeter groups and cDV singularities	Osamu Iyama - Contracted preprojective algebras, Coxeter groups and cDV singularities Preprojective algebras of quivers are important objects in representation theory. In extended Dynkin case, they give non-commutative resolutions of simple singularities of dimension two. Motivated by… maths icms singularity dimension algebra zebra isomorphism space picture plane definition coin hyperplane category modifying endomorphism units cross depth modulus alpha arrangement From Belle Taylor on September 10th, 2020 0 likes 28 plays 0 Publisher ICMS Licence Type All rights reserved Language English Date Created September 10th, 2020
15:24 4b - Poisson Distribution 4b - Poisson Distribution	4b - Poisson Distribution Lecture 4b - Poisson Distribution by Prof Ian Underwood engineering design and manufacture defects probability process minus dpu yield unit units poisson c. step defect gpus formula distribution things table times dp opportunities From Lesley Gibson on September 3rd, 2020 0 likes 73 plays 0 Licence Type Creative Commons - Attribution
19:27 4a - Defects and Yields 4a - Defects and Yields	4a - Defects and Yields Lecture 4a - Defects and Yields by Prof Ian Underwood engineering design and manufacture defects defect chip probability distribution areas yield unit units process manufacturing dpu dust mosque chips test times rectangle average room From Lesley Gibson on September 3rd, 2020 0 likes 90 plays 0 Licence Type Creative Commons - Attribution
03:26 3.3b - Post-combustion capture with solvents Part… 3.3b - Post-combustion capture with solvents Part 2	3.3b - Post-combustion capture with solvents Part 2 Mitigating Climate Change - Carbon Capture Storage si base units metrology distributor replace combustion production and manufacturing process chemical engineering bubble chemical processes carbon dioxide volume chemical reactions reaction consist area facilities industry heat transfer electricity industrial caption complete bottom emissions effects countries meters structure solvent chemical millions carbon capture and storage climate change anticipation geography terminology plumbing carbon liquid packing station contact capture openmediabank mooc cc-by From Jonathan Jack on January 23rd, 2018 0 likes 14 plays 0 Licence Type Creative Commons - Attribution
04:36 2.4 - The cement industry 2.4 - The cement industry	2.4 - The cement industry Mitigating Climate Change - Carbon Capture Storage carbon mineralogy inorganic solvents sedimentology calcium percent concrete oxides contribute cement consist steel pollution pavements production manufacture footprint product carbonate biology and pharmacology of chemical elements portland carbonates thermodynamics sedimentary rocks effects worldwide si base units energy economics dietary minerals alternative environmental issues with energy chemistry heat transfer fifteen greenhouse gas emissions carbon capture and storage require minerals chemical elements construction carbon footprint calcium compounds concepts in physics industry caption complete building materials reducing agents temperature limestone environmental science materials carbon dioxide natural resources food ingredients length emissions facilities waste climate change ingredient energy openmediabank mooc cc-by From Jonathan Jack on January 23rd, 2018 0 likes 17 plays 0 Licence Type Creative Commons - Attribution
54:15 Jenny Miller \| Monash University \| Integrating… Jenny Miller \| Monash University \| Integrating Language and Content in Practice	Jenny Miller \| Monash University \| Integrating Language and Content in Practice CERES \| Symposium: Language, Literacies and Diverse Classrooms \| Friday 31st March 2017Moray House School of EducationUniversity of Edinburgh lexical units research methods identity students sociolinguistics reasoning s.l.a. youth literature language acquisition comprehension pedagogy mainstream syntactic relationships learning methods social sciences developmental psychology linguistics syntactic entities language understanding structure school terminology literacy creativity personal development moray house school of education and sport childhood education reform socioeconomics institutes eal curricula fiction differentiation education teacher semantics psycholinguistics educational stages teaching applied linguistics syntax cognitive science languages educational psychology research parts of speech philosophy classroom evaluation teacher education school vocabulary child development caption complete language education sociology of culture writing From Ileana Iacobescu on May 1st, 2017 1 likes 59 plays 0 Publisher Barrie Barreto TEEU Licence Type All rights reserved The University of Edinburgh Language english Date Created May 1st, 2017
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
03:52 Representation Power Representation Power	Representation Power Representation Power iaml neural networks function network input layers kolmogorov power hood signal theorem kind space parts bit functions units lot layer networks decision methods From Nigel Goddard on September 25th, 2016 1 likes 778 plays 0 Licence Type Creative Commons - Attribution

the university of edinburgh

University affiliations

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336, VAT Registration Number GB 592 9507 00, and is acknowledged by the UK authorities as a “Recognised body” which has been granted degree awarding powers.

Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2019. Course specific materials are created by University of Edinburgh staff for you to use in your studies. You should not share, publish or sell these outside the University