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55:49 ASR Lecture 12 ASR Lecture 12	ASR Lecture 12 ASR Lecture 12: Neural Networks for Acoustic Modelling 3 speech recognition features network weights layer units unit context gate networks input model output sort point frame kind bit frames lecture lstms From Peter Bell on March 25th, 2021 0 likes 58 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 25th, 2021
01:01:20 8 March 2021 - Carola-Bibiane Schönlieb… 8 March 2021 - Carola-Bibiane Schönlieb (University of Cambridge) - Structure-preserving deep learning	8 March 2021 - Carola-Bibiane Schönlieb (University of Cambridge) - Structure-preserving deep learning The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published.8 March 2021Carola-Bibiane Schönlieb (University of Cambridge) -… one world numerical analysis owna network networks kind function learning ode input output layers problem problems gradient thing layer linear image training analysis instance continuum From OLLIE Quinn on March 8th, 2021 0 likes 61 plays 0 Licence Type All rights reserved Language English Date Created March 8th, 2021
57:43 No Code? No Problem!!(CCCF Online 2021) No Code? No Problem!!(CCCF Online 2021)	No Code? No Problem!!(CCCF Online 2021) This session with Creative Informatics demonstrates how NoCode tools can allow non-technical people to create their own software to support their creative ideas. NoCode tools are becoming… careers service bubble bit plants things thing plant kind stuff text session button squarespace question location jeff picture idea chat input domain From Ailsa Wright on March 3rd, 2021 0 likes 32 plays 0 Publisher Careers Service Licence Type All rights reserved The University of Edinburgh Date Created March 3rd, 2021
28:44 PGHC11506 Ancient Egyptian Hieroglyphs: Week 8… PGHC11506 Ancient Egyptian Hieroglyphs: Week 8 Appeals to the Living	PGHC11506 Ancient Egyptian Hieroglyphs: Week 8 Appeals to the Living Video by Dr Zsuzsanna Vegh for Ancient Egyptian Hieroglyphs Introduction: Week 8 hca word offering living pronoun king future option formula suffix form object verb tpu phrase input mary names words preposition earth From Anna Raczynski on March 3rd, 2021 0 likes 16 plays 0 Course Code PGHC11506 Publisher The University of Edinburgh Licence Type All rights reserved The University of Edinburgh
47:46 ASR Lecture 9 part I ASR Lecture 9 part I	ASR Lecture 9 part I ASR Lecture 9: WFSTs for ASR (partial lecture due to technical issues) speech recognition transducer probability bit output symbol weights probabilities point composition word path log input sequence weight pizza outputs grandma recognition loop From Peter Bell on February 15th, 2021 0 likes 103 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 8th, 2021
16:08 AVLSI Demo 1 - Symbol Creation AVLSI Demo 1 - Symbol Creation	AVLSI Demo 1 - Symbol Creation A demo on how to create symbols in Cadence Virtuoso, along with some tips on using the schematic editor virtuoso avlsib cadence symbols analogue circuits symbol things supply ground keyboard device box input pin inputs bit thing origin square menu convention rail pen shortcut From Filip Taneski on January 13th, 2021 0 likes 20 plays 0 Licence Type Creative Commons - Attribution Language English Date Created January 13th, 2021
49:18 NLU+ Lecture 5: Feed Forward Neural Networks NLU+ Lecture 5: Feed Forward Neural Networks	NLU+ Lecture 5: Feed Forward Neural Networks Feed Forward Neural Networks informatics nlu vector function model probability thing lot output word perceptron distribution things network words models bunch input parameters language regression matrix From Ruairi O'Hare on December 29th, 2020 0 likes 7 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
02:56 Distillation Lecture 1 2020 part 3 Distillation Lecture 1 2020 part 3	Distillation Lecture 1 2020 part 3 Distillation Lecture 1 2020 part 3 column purity bottom specifications trays disposal tools question analysis input energy specification sense streams output outputs concentration ideal inefficiencies From John Christy on December 24th, 2020 0 likes 41 plays 0 Course Code CHEE11023 Publisher John Christy Licence Type All rights reserved The University of Edinburgh Language British English Date Created December 24th, 2020
53:18 NLU+ Lecture 7: Sequence-to-sequence models with… NLU+ Lecture 7: Sequence-to-sequence models with attention	NLU+ Lecture 7: Sequence-to-sequence models with attention Seq-to-seq with Attention informatics nlu word sentence input thing words model decoder rnn output attention representation things lot encoder english step idea distribution german stuff From Ruairi O'Hare on December 22nd, 2020 0 likes 4 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
10:31 NLU+ Lecture 4: Perceptrons NLU+ Lecture 4: Perceptrons	NLU+ Lecture 4: Perceptrons Multi Layer Perceptron informatics nlu layer function perceptron step input perceptrons functions sort representation points idea approximators thing output point lecture steps units multi threshold From Ruairi O'Hare on December 22nd, 2020 0 likes 4 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
41:16 NLU+ Lecture 6: Recurrant Neural Networks NLU+ Lecture 6: Recurrant Neural Networks	NLU+ Lecture 6: Recurrant Neural Networks Recurrant Neural Networks informatics nlu vector function word things thing input network output words gradient lot models sort sigmoid stuff units networks gates lots model From Ruairi O'Hare on December 22nd, 2020 0 likes 3 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 22nd, 2020
35:48 NLU+ Lecture 4: Perceptrons NLU+ Lecture 4: Perceptrons	NLU+ Lecture 4: Perceptrons Perceptrons informatics nlu weights output input perceptron inputs threshold function thing neurons target functions logic vector things learning algorithm side point networks layer From Ruairi O'Hare on December 22nd, 2020 0 likes 13 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
23:34 NLU+ Lecture 1: Introduction NLU+ Lecture 1: Introduction	NLU+ Lecture 1: Introduction Introduction to NLU+ informatics nlu things nlp learning stuff models types lots problems thing lot bit machine examples kind problem function model input ambiguity translation From Ruairi O'Hare on December 16th, 2020 0 likes 18 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
01:47 NLU+ Lecture 1: Introduction NLU+ Lecture 1: Introduction	NLU+ Lecture 1: Introduction What is NLG? informatics nlu language image description things kind inverse nlg input lot bit output u. lang alu ways talk purposes captioning person problem From Ruairi O'Hare on December 16th, 2020 0 likes 6 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
07:22 NLU+ Lecture 1: Introduction NLU+ Lecture 1: Introduction	NLU+ Lecture 1: Introduction What is NLU? informatics nlu things language sentence function kind input understanding sort database syntax systems thing question output device analysis bit parsing form speech From Ruairi O'Hare on December 16th, 2020 0 likes 14 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
28:05 Topic 76: Frequency-domain analysis of… Topic 76: Frequency-domain analysis of input-output statistics (PETARS, Chapter 10)	Topic 76: Frequency-domain analysis of input-output statistics (PETARS, Chapter 10) This video gives a comprehensive overview of using a frequency-domain analysis technique for evaluating the input-output statistics of a linear time-invariant system with a wide-sense stationary… pgee11164 output input function density expression minus response transform domain frequency term result impulse autocorrelation transfer cross signal power difference denominator From James Hopgood on December 2nd, 2020 0 likes 50 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created December 2nd, 2020

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