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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 2 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 25th, 2021
57:00 ASR Lecture 10 (part 2); Lecture 11 ASR Lecture 10 (part 2); Lecture 11	ASR Lecture 10 (part 2); Lecture 11 ASR Lecture 10 (part 2): Neural network models (1); ASR Lecture 11: Neural network models (2) speech recognition network networks probability bit speech recognition features output layer error weights outputs label delta things function hmm term lecture layers From Peter Bell on March 25th, 2021 0 likes 2 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 22nd, 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 38 plays 0 Licence Type All rights reserved Language English Date Created March 8th, 2021
02:17 SL week 10 intro SL week 10 intro	SL week 10 intro Dr Polly Hashmi hcp-med year 1 sustaining life blood pressure volume week angiotensin blockers diuretics topics questions drugs hypertension pathophysiology renin responses functions output professor maxwell weaknesses strengths From Gavin Brown on March 5th, 2021 0 likes 7 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like
01:05:26 CP2 CNS2 Parkinson's disease Dr Phil Larkman CP2 CNS2 Parkinson's disease Dr Phil Larkman	CP2 CNS2 Parkinson's disease Dr Phil Larkman Pharmacology of Parkinson's disease l-dopa dopamine disease dopa neurons pathway brain parkinson ganglia basal motor symptoms output treatment receptors nuclei degeneration drug drugs phosphorylation pathophysiology From Philip Larkman on March 2nd, 2021 0 likes 17 plays 0 Licence Type Creative Commons - Attribution
43:14 UK-APASI in Mathematical Sciences: John H.… UK-APASI in Mathematical Sciences: John H. Njagarah	UK-APASI in Mathematical Sciences: John H. Njagarah Subtitles will be added soon. Wednesday 24 February 2021 UK-APASI in Mathematical Sciences John H. Njagarah, Botswana International University - Sensitivity analysis of parameters of an epidemic… parameters values sensitivity parameter drug epidemic model analysis reproduction output respect influence individuals users change population cases isolation naught measure From Liam Holligan on February 24th, 2021 0 likes 7 plays 0 Publisher Liam Holligan Licence Type Creative Commons - Attribution Language English Date Created February 24th, 2021
52:59 ASR Lecture 9 part II; ASR Lecture 10 part I ASR Lecture 9 part II; ASR Lecture 10 part I	ASR Lecture 9 part II; ASR Lecture 10 part I Second part of ASR Lecture 9: WFSTs for ASR First part of ASR Lecture 10: Neural network acoustic models 1 speech recognition error context function bit vector output weight score point thing phones weights grandma respect t. training things hmm space pizza From Peter Bell on February 15th, 2021 0 likes 38 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 11th, 2021
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 56 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 8th, 2021
01:32:40 ASR Lecture 3 ASR Lecture 3	ASR Lecture 3 ASR Lecture 3: Speech signal analysis (2) speech recognition features window spectrum power frequency analysis asr windows mfcc frequencies delta output questions dft linear scale bit mfccs difference question From Peter Bell on January 31st, 2021 0 likes 11 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created January 18th, 2021
02:48 AVLSI Troubleshoot 2 - Clearing SOAC Warnings For… AVLSI Troubleshoot 2 - Clearing SOAC Warnings For Faster Simulation	AVLSI Troubleshoot 2 - Clearing SOAC Warnings For Faster Simulation How to clear SOAC warnings for faster transient simulation analogue circuits avlsib cadence virtuoso cheques model simulator directory files libraries voltage devices soa output warnings simulation troubleshooting improvement run hats path folder models location From Filip Taneski on January 28th, 2021 0 likes 4 plays 0 Course Code ELEE11073 Publisher Filip Taneski Licence Type Creative Commons - Attribution Date Created January 28th, 2021
04:26 MLP Guest Lecture 01 - Session 1 (Week 2) - MLP… MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 01/04	MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 01/04 Machine Learning Practical Semester 2 Guest Lecture 01 - Session 1 (Week 2) - Clip 01/04. machine learning deep learning gpu cluster cores cpu lot gpus core demo clusters overview alright tenth experiment learning pool math cpus reason mush output From Pavlos Andreadis on January 20th, 2021 1 likes 96 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
55:22 Ivan Oseledets 11 January 2021 Machine learning… Ivan Oseledets 11 January 2021 Machine learning and numerical methods	Ivan Oseledets 11 January 2021 Machine learning and numerical methods An automated programme has been used to generate the subtitles on this talk. icms owna function parameters optimization lot functions approximation basis problem model network idea samples linear method networks gradient image class output solution From OLLIE Quinn on January 11th, 2021 0 likes 127 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created January 11th, 2021
49:54 NLU+ Lecture 8: Evaluation of Machine Translation NLU+ Lecture 8: Evaluation of Machine Translation	NLU+ Lecture 8: Evaluation of Machine Translation Evaluation of Translation informatics nlu translation things translations machine lot cases idea systems stuff words output language bit sentence fluency sort thing kind languages lots From Ruairi O'Hare on December 29th, 2020 0 likes 11 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
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 36 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

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