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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 14 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 10 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 6 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 33 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 12 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
23:00 IDS - Week 11 - 04 - Interactive web apps IDS - Week 11 - 04 - Interactive web apps	IDS - Week 11 - 04 - Interactive web apps Building interactive web apps with R and Shiny data science rstats plot app things server input output interface side range panel function widget package selection thing ui scotland origin sidebar layout From Mine Cetinkaya-Rundel on December 1st, 2020 0 likes 6 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
46:18 FP - Lecture 17 - IO and Monads FP - Lecture 17 - IO and Monads	FP - Lecture 17 - IO and Monads This is the first video for the FP lecture on IO and Monads. inf1a introduction to computation haskell functional programming command thing things char function question mark string lambda computer mind monad io a. input unit questions monoid lot From Claudia-Elena Chirita on November 23rd, 2020 0 likes 308 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
31:53 MLP Lecture 10 MLP Lecture 10	MLP Lecture 10 Recurrent Neural Networks 2 mlp2020 rnn architecture units input network gate cell function image backpropagation idea networks attention instance output architectures weight layer sequence lecture context From Subramanian Ramamoorthy on November 22nd, 2020 2 likes 67 plays 0 Course Code INFR11132 Licence Type All rights reserved The University of Edinburgh Language English Date Created November 22nd, 2020
51:37 LMS Computer Science Colloquium - Nobuko Yoshida… LMS Computer Science Colloquium - Nobuko Yoshida (Imperial College London)	LMS Computer Science Colloquium - Nobuko Yoshida (Imperial College London) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Nobuko Yoshida (Imperial College London) - Session Types:… icms session types language protocol dc study programming communication input choice jadi machine idea communications api worker container buddha function kodak From Liam Holligan on November 19th, 2020 0 likes 16 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 19th, 2020
01:54:13 MLP Advanced NN Tutorial 02 - Relational… MLP Advanced NN Tutorial 02 - Relational Networks; Generative Adversarial Networks; HyperNetworks	MLP Advanced NN Tutorial 02 - Relational Networks; Generative Adversarial Networks; HyperNetworks Machine Learning Practical advanced tutorial (optional) - Session 2 (Week 8). machine learning deep learning relational neural networks .generative adversarial networks hypernetworks network weights layer things thing kind layers stuff idea inputs model features weight paper sense week function networks input loss From Pavlos Andreadis on November 16th, 2020 1 likes 43 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English

Search for tag: "input"

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