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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 ALASDAIR SPRATT on January 11th, 2021 0 likes 39 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created January 11th, 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 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
01:37:35 MLP Advanced NN Tutorial 05 - Transformers;… MLP Advanced NN Tutorial 05 - Transformers; Meta-Learning	MLP Advanced NN Tutorial 05 - Transformers; Meta-Learning Machine Learning Practical advanced tutorial (optional) - Session 5 (Week 11). machine learning deep learning transformers meta-learning learner training learning thing model loop things network test tasks process meta task attention gradients respect loss parameters generalisation layer From Pavlos Andreadis on December 5th, 2020 1 likes 17 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
51:21 MLP Q&A 2 - Session 5 (Week 11) MLP Q&A 2 - Session 5 (Week 11)	MLP Q&A 2 - Session 5 (Week 11) Machine Learning Practical Q&A 2 - Session 5 (Week 11). machine learning deep learning question network problem class pixels thing background classes backgrounds things object validation image sets segmentation images classification units kind questions From Pavlos Andreadis on December 2nd, 2020 1 likes 5 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
31:54 MLP Q&A 1 - Session 5 (Week 11) MLP Q&A 1 - Session 5 (Week 11)	MLP Q&A 1 - Session 5 (Week 11) Machine Learning Practical Q&A 1 - Session 5 (Week 11). machine learning deep learning projects problem things kind learning methods semester question experiments reinforcement idea coursework term innovation network bit datasets students backpropagation thing From Pavlos Andreadis on December 2nd, 2020 1 likes 3 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
11:31 10.6 Networks and Insitutions- Filter bubbles and… 10.6 Networks and Insitutions- Filter bubbles and Polarisastion	10.6 Networks and Insitutions- Filter bubbles and Polarisastion Internet and Society 2020 internet politics filter bubbles internet studies social media media studies networks representatives kind practise things polarisation processes solidarity process chambers echo spaces messages network bubbles philtre slides revolution sharing hum From James Stewart on November 29th, 2020 0 likes 5 plays 0 Licence Type Creative Commons - Attribution Share A Like Date Created November 29th, 2020
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 57 plays 0 Course Code INFR11132 Licence Type All rights reserved The University of Edinburgh Language English Date Created November 22nd, 2020
01:48:34 MLP Advanced NN Tutorial 03 - Attention;… MLP Advanced NN Tutorial 03 - Attention; Transformers	MLP Advanced NN Tutorial 03 - Attention; Transformers Machine Learning Practical advanced tutorial (optional) - Session 3 (Week 9). machine leasrning deep learning transformers attention thing things query network sequence vector words word layer kind size context layers output rnn transformer stuff softmax step From Pavlos Andreadis on November 20th, 2020 1 likes 33 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
47:02 MLP Q&A 2 - Session 4 (Week 9) MLP Q&A 2 - Session 4 (Week 9)	MLP Q&A 2 - Session 4 (Week 9) Machine Learning Practical Q&A 2 - Session 4 (Week 9). machine learning deep learning things thing bit question questions interpretability network learning semester setup machine cloud projects networks fact problem sort week space logic From Pavlos Andreadis on November 20th, 2020 1 likes 21 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
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 28 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
49:41 MLP Lecture 9 MLP Lecture 9	MLP Lecture 9 MLP lecture on RNNs part 1 mlp2020 rnn architecture output input idea sequence kind layer network context instance sentence backpropagation model fact language bit ways question slide architectures From Subramanian Ramamoorthy on November 16th, 2020 3 likes 152 plays 0 Course Code INFR11132 Licence Type All rights reserved The University of Edinburgh Language English Date Created November 16th, 2020
54:43 Desmond Higham 16 November Should We Be Perturbed… Desmond Higham 16 November Should We Be Perturbed About Deep Learning	Desmond Higham 16 November Should We Be Perturbed About Deep Learning ICMS OWNA An automated programme has been used to generate the subtitles on this talk. icms owna point error network precision attack softmax points epsilon algorithm change classification dimension errors function validation output images analysis perturbations things From ALASDAIR SPRATT on November 16th, 2020 0 likes 197 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created November 16th, 2020
01:12:36 11th Nov: Thinking strategically about your… 11th Nov: Thinking strategically about your professional networks to overcome gender barriers in academic career	11th Nov: Thinking strategically about your professional networks to overcome gender barriers in academic career Thinking strategically about your professional networks to overcome gender barriers in academic career 11th November 2020 Dr Carla Cebula @CarlaOnion visNET, University of Glasgow Where are you… network gender networking equality inclusion diversity barriers networks career twitter contacts organisations From Katie Nicoll Baines on November 11th, 2020 0 likes 5 plays 0 Licence Type All rights reserved Date Created November 11th, 2020
53:43 MLP Q&A 2 - Session 3 (Week 7) MLP Q&A 2 - Session 3 (Week 7)	MLP Q&A 2 - Session 3 (Week 7) Machine Learning Practical Q&A 2 - Session 3 (Week 7). machine learning deep learning things image network kernel convolution question output fan From Pavlos Andreadis on November 3rd, 2020 1 likes 35 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
04:19 MLP Lecture 07 - Clip 09 - a Short History of CNNs MLP Lecture 07 - Clip 09 - a Short History of CNNs	MLP Lecture 07 - Clip 09 - a Short History of CNNs Machine Learning Practical (MLP) Lecture 07, Clip 09 / 09. machine learning deep learning times maps feature network size image nets class performance networks kernel features gradients lecture layers probability classes error classification model From Pavlos Andreadis on November 2nd, 2020 1 likes 157 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English

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