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42:33 Second- and Higher-Order Anti-Concentration… Second- and Higher-Order Anti-Concentration Inequalities, Comparison Theorems and Bootstrap - Cun-Hui Zhang	Second- and Higher-Order Anti-Concentration Inequalities, Comparison Theorems and Bootstrap - Cun-Hui Zhang Structural Breaks and Shape Constraints Second- and Higher-Order Anti-Concentration Inequalities, Comparison Theorems and Bootstrap Cun-Hui Zhang (Rutgers University) 19 May 2022 icms function distribution condition alpha result theory maximum problem expansion difference gaussian softmax density delta derivative smoothness interpolation comparison power matrix From Iain Cms 0 likes 9 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
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 1 likes 85 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
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 OLLIE Quinn 0 likes 351 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created November 16th, 2020
01:03:40 MLP Q&A 1 - Session 2 (Week 5) MLP Q&A 1 - Session 2 (Week 5)	MLP Q&A 1 - Session 2 (Week 5) Machine Learning Practical Q&A 1 - Session 2 (Week 5). machine learning deep learning gradients weights function entropy values input output activation lecture questions softmax From Pavlos Andreadis 1 likes 23 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
59:20 MLP Q&A 2 - Session 1 (Week 3) MLP Q&A 2 - Session 1 (Week 3)	MLP Q&A 2 - Session 1 (Week 3) Machine Learning Practical Q&A 2 - Session 1 (Week 3). machine learning deep learning questions week softmax coursework ideas lectures layer teams From Pavlos Andreadis 1 likes 55 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
00:50 Multiclass Classification Multiclass Classification	Multiclass Classification Multiclass Classification iaml logistic regression probabilities class classification multiclass detail setting multi regression generalization sum laboratorians constraints form function softmax vector wave classes hallway From Nigel Goddard 0 likes 3,064 plays 0 Licence Type Creative Commons - Attribution

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