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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 30 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created January 11th, 2021
04:46 Introduction – Claudia Chirita Introduction – Claudia Chirita	Introduction – Claudia Chirita Meet the lecturers of Inf2D: Claudia Chirita. inf2d reasoning and agents introduction to the lecturers artificial intelligence logic reasoning intelligence ethics classes campus networks theory programming questions inference From Claudia-Elena Chirita on January 4th, 2021 0 likes 80 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
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 5 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
54:00 MLP Interviews - Maximiliana Behnke MLP Interviews - Maximiliana Behnke	MLP Interviews - Maximiliana Behnke Machine Learning Practical interviews - Winter 2020 - Session 3/4. Maximiliana Behnke is a PhD student at the Univeristy of Edinburgh focussing on "Natural Language Processing" (NLP),… machine learning dep learning nlp natural language processing machine translation transformers rnns recurrent neural networks autoencoders optimisers translation machine language model languages models lot sentences english quality output words lake word text students thing task questions From Pavlos Andreadis on December 8th, 2020 1 likes 20 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
57:46 MLP Interviews - Leonie Bossemeyer MLP Interviews - Leonie Bossemeyer	MLP Interviews - Leonie Bossemeyer Machine Learning Practical interviews - Winter 2020 - Session 2/4. Leonie Bossmeyer is an MSc graduate in Data Science at the University of Edinburgh, and is currently an MSc student in Quantitative… machine learning deep learning copulas density estimation embeddings gan generative adversarial networks normalising flows images image things distribution kind model thing lot bit buildings week damage question variables idea dataset questions flow task label From Pavlos Andreadis on December 7th, 2020 1 likes 25 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
19:58 10.2 Smart Mobs and Popular Revolutions 10.2 Smart Mobs and Popular Revolutions	10.2 Smart Mobs and Popular Revolutions Internet and Society 2020 digital politics online revolutions mobile revolutions protests media kind spring crowd technologies revolutions tv text ground uprising lot things networks china mass messages reporters revolution government activists From James Stewart on November 29th, 2020 0 likes 12 plays 0 Publisher UoE Licence Type Creative Commons - Attribution Non Commercial No Derivatives 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
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
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
01:54:44 MLP Advanced NN Tutorial 01 - Relational Networks MLP Advanced NN Tutorial 01 - Relational Networks	MLP Advanced NN Tutorial 01 - Relational Networks Machine Learning Practical advanced tutorial (optional) - Session 1 (Week 7). machine learning deep learning relational networks convolutional neural networks From Pavlos Andreadis on November 6th, 2020 1 likes 59 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
15:13 MLP Lecture 06 - Clip 05 - Pretraining MLP Lecture 06 - Clip 05 - Pretraining	MLP Lecture 06 - Clip 05 - Pretraining Machine Learning Practical (MLP) Lecture 06, Clip 05 / 05. machine learning deep learning network training images representations learning weights task layer target output input image categories species kind thing labels parts inputs networks From Pavlos Andreadis on October 24th, 2020 2 likes 186 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
12:10 MLP Lecture 06 - Clip 04 - Batch Normalisation MLP Lecture 06 - Clip 04 - Batch Normalisation	MLP Lecture 06 - Clip 04 - Batch Normalisation Machine Learning Practical (MLP) Lecture 06, Clip 04 / 05. machine learning deep learning deviation normalization batch training backpropagation minibatch beta gamma networks gradient weights reason output layer features thing activation network idea activations From Pavlos Andreadis on October 24th, 2020 1 likes 198 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English

Search for tag: "networks"

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