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04:49 MLP Lecture 08 - Clip 01 - Dilated Convolutions MLP Lecture 08 - Clip 01 - Dilated Convolutions	MLP Lecture 08 - Clip 01 - Dilated Convolutions Machine Learning Practical (MLP) Lecture 08, Clip 01 / 05. machine learning deep learning pixels size kernel unit convolution operation times field layers units layer computations patch thing weights transformations functions end padding pixel From Pavlos Andreadis on November 9th, 2020 1 likes 180 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
03:59 MNIST digit recognition MNIST digit recognition	MNIST digit recognition MNIST digit recognition iaml nearest neighbours distance image examples training pixel bitmaps algorithm humans accuracy class bitmap digits task neighbor test images testing row digit neighbors From Nigel Goddard on September 21st, 2016 1 likes 1,659 plays 0 Licence Type Creative Commons - Attribution
05:21 Independence Assumption in Naive Bayes Independence Assumption in Naive Bayes	Independence Assumption in Naive Bayes Independence Assumption in Naive Bayes $400.00 variables probability iaml attribute philosophical terminology digit bitmap single individual consists caption complete estimating assumption black bunch pixel difficult independent product distribution number reason effects variable class compute independence assumption times probability theory classifier pixels variables bitmaps independence attributes probabilities numbers threes digits From Nigel Goddard on September 17th, 2016 1 likes 2,727 plays 0 Licence Type Creative Commons - Attribution
05:32 Bayesian Classification Bayesian Classification	Bayesian Classification Bayesian Classification probability predict problematic computer mathematical terminology classification interesting percent predictions class assuming scientific method email classify function iaml digit predicting stick ontology small number classifiers compute classified probabilistic times values representation quantity pixel effects spam classes classifier words probabilities bayes x. model classifications y. From Nigel Goddard on September 17th, 2016 1 likes 3,219 plays 0 Licence Type Creative Commons - Attribution
02:49 When Pixels Work as Attributes and When They… When Pixels Work as Attributes and When They Don't	When Pixels Work as Attributes and When They Don't When Pixels Work as Attributes and When They Don't iaml data digit digits pixels meaning lot stroke vision reason slant bitmap pixel input idea cases domain attributes transformation slants angles box From Nigel Goddard on September 17th, 2016 1 likes 1,858 plays 0 Licence Type Creative Commons - Attribution
04:18 Representing Handwritten Digits Representing Handwritten Digits	Representing Handwritten Digits Representing Handwritten Digits iaml data attributes bitmap pixel digit lots recognition handwriting envelope machine digits idea threshold lot representation representations paper problem pen device kind From Nigel Goddard on September 17th, 2016 1 likes 1,957 plays 0 Licence Type Creative Commons - Attribution

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