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Second- and Higher-Order Anti-Concentration… duration 42 minutes 33 seconds 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 35 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
MLP Advanced NN Tutorial 03 - Attention;… duration 1 hour 48 minutes 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 116 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
Desmond Higham 16 November Should We Be Perturbed… duration 54 minutes 43 seconds 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 Greg McCracken 0 likes 384 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created November 16th, 2020
MLP Q&A 1 - Session 2 (Week 5) duration 1 hour 3 minutes 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 27 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
MLP Q&A 2 - Session 1 (Week 3) duration 59 minutes 20 seconds 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 64 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
Multiclass Classification duration 50 seconds 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 3,301 plays 0 Licence Type Creative Commons - Attribution