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AI & Storytelling, Invited Lecture for… duration 32 minutes 58 seconds AI & Storytelling, Invited Lecture for… AI & Storytelling, Invited Lecture for Abertay University - The Feels Wheel	AI & Storytelling, Invited Lecture for Abertay University - The Feels Wheel AI & Storytelling, Invited Lecture for Abertay University, February 5th 2024 - The Feels Wheel: Building a Sentiment Analysis model ai artificial intelligence recurrent neural networks rnn deep learning perceptron sentiment analysis word sentence times sentiment weight end output model step matrix input memory computation character words bit bias string architecture weights From Pavlos Andreadis 1 likes 11 plays 0 Course Code CMP512 Publisher Pavlos Andreadis Licence Type All rights reserved Language English Date Created February 4th, 2024 Retain Source File Yes
Machine Learning Practical - Week 9 (Live 2022-23) duration 51 minutes 36 seconds Machine Learning Practical - Week 9 (Live 2022-23) Machine Learning Practical - Week 9 (Live 2022-23)	Machine Learning Practical - Week 9 (Live 2022-23) Machine Learning Practical Week 9, Part 1 of 2 on Recurrent Neural Networks. Live lecture from 2022-23. machine learning artificial intelligence recurrent neural networks rnns deep learning input output sequence timestep bit function step thing network computation problem weights account frame steps dimensionality things examples point layer From Pavlos Andreadis 0 likes 14 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English Date Created November 8th, 2022 Retain Source File Yes
MLP Lecture 08 - Clip 05 - Short CNN timeline duration 12 minutes 20 seconds MLP Lecture 08 - Clip 05 - Short CNN timeline MLP Lecture 08 - Clip 05 - Short CNN timeline	MLP Lecture 08 - Clip 05 - Short CNN timeline Machine Learning Practical (MLP) Lecture 08, Clip 05 / 05. machine learning deep learning convolutional neural networks timeline network layers computation layer networks parameters performance improvement training backpropagation computations net features starting times bias function field output connexions From Pavlos Andreadis 1 likes 170 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English Date Created November 8th, 2022 Retain Source File Yes
AML: Neural Networks - Training Neural Networks duration 23 minutes 32 seconds AML: Neural Networks - Training Neural Networks AML: Neural Networks - Training Neural Networks	AML: Neural Networks - Training Neural Networks Applied Machine Learning - INFR11211 Neural Networks - Training Neural Networks Part 2/3 aml neural networks machine learning From Oisin Mac Aodha 3 likes 341 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Neural Networks - Introduction to Neural… duration 30 minutes 23 seconds AML: Neural Networks - Introduction to Neural… AML: Neural Networks - Introduction to Neural Networks	AML: Neural Networks - Introduction to Neural Networks Applied Machine Learning - INFR11211 Neural Networks - Introduction to Neural Networks Part 1/3 aml neural networks machine learning From Oisin Mac Aodha 3 likes 374 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Neural Networks - Alternative Network… duration 15 minutes 57 seconds AML: Neural Networks - Alternative Network… AML: Neural Networks - Alternative Network Architectures	AML: Neural Networks - Alternative Network Architectures Applied Machine Learning - INFR11211 Neural Networks - Alternative Network Architectures Part 3/3 aml neural networks machine learning From Oisin Mac Aodha 1 likes 298 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
Michael Allouche EVA Talk Preview duration 3 minutes 36 seconds Michael Allouche EVA Talk Preview Michael Allouche EVA Talk Preview	Michael Allouche EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Michael Allouche Talk Title: On the approximation of extreme quantiles with ReLU neural networks Abstract:… eva icms allouche theory solution neural networks networks quantiles relu linear units linear functions gan function log minus network alpha illustration approximation tail rate sigma error regularity phi theorem training model generative talk From Anna Munro 0 likes 35 plays 0 Licence Type All rights reserved Language English
The True Final Frontier: oceans from space; Dr… duration 31 minutes 46 seconds The True Final Frontier: oceans from space; Dr… The True Final Frontier: oceans from space; Dr Encarni Medina-Lopez	The True Final Frontier: oceans from space; Dr Encarni Medina-Lopez It is commonly said that we know more about space than about our seas, but what about studying the ocean from space? Satellite data has been used for decades in land studies, but ocean observation is… academics unplugged college of science and engineering ocean satellite satellite imagery chancellor's fellows salinity temperature space school of engineering neural networks From Stuart Dunbar 0 likes 41 plays 0 Publisher College of Science and Engineering Licence Type All rights reserved The University of Edinburgh Language English Date Created March 18th, 2021
MLP Interviews - Maximiliana Behnke duration 54 minutes 0 seconds 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 1 likes 36 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
MLP Advanced NN Tutorial 02 - Relational… duration 1 hour 54 minutes 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 1 likes 96 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
MLP Advanced NN Tutorial 01 - Relational Networks duration 1 hour 54 minutes 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 1 likes 125 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
Preliminaries - perceptrons duration 4 minutes 52 seconds Preliminaries - perceptrons Preliminaries - perceptrons	Preliminaries - perceptrons Preliminaries - perceptrons iaml neural networks perceptron function regression 990s computer perceptrons hat gradient kind minus step sigmoid networks bit update direction rosenblatt rule architecture linear From Nigel Goddard 1 likes 2,736 plays 0 Licence Type Creative Commons - Attribution
Applications duration 3 minutes 6 seconds Applications Applications	Applications Neural Networks: Applications iaml neural networks linear advantages method basis class networks word language applications functions thing brain boundary decision recognition speech problem classification kind network From Nigel Goddard 1 likes 1,392 plays 0 Licence Type Creative Commons - Attribution
Training an ANN duration 7 minutes 33 seconds Training an ANN Training an ANN	Training an ANN Training an ANN iaml neural networks weight gradient error minima output backpropagation respect network networks descent derivative thing class regression training algorithm units weights probability optimization From Nigel Goddard 1 likes 1,672 plays 0 Licence Type Creative Commons - Attribution
Representation Power duration 3 minutes 52 seconds Representation Power Representation Power	Representation Power Representation Power iaml neural networks function network input layers kolmogorov power hood signal theorem kind space parts bit functions units lot layer networks decision methods From Nigel Goddard 1 likes 1,576 plays 0 Licence Type Creative Commons - Attribution
Network Parameters duration 3 minutes 0 seconds Network Parameters Network Parameters	Network Parameters Network Parameters iaml neural networks things function thing networks network algorithm basis fact units parameters lot crank art shape features layer layers structure assignment experience From Nigel Goddard 1 likes 1,605 plays 0 Licence Type Creative Commons - Attribution