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hi there today well look at group normalization by Yu Xin Wu and coming her of Facebook AI research so this paper is basically an engineering paper about a new normalization technique called group normalization so whats the issue here the issue is that pretty much throughout neural network learning were using this technique called batch normalization now batch normalization is a pretty reasonable thing and it works very very well so whats the idea behind batch normalization the idea is if you have data points for machine learning methods and your data is in a 2d coordinate system somewhere down here right and youre trying to separate that from the dots which are here it is often very beneficial to shift that distribution before you do anything you want to shift it to the middle of the basically want to Center it first of all such that the 0 the origin point is in the middle of the data and then sometimes you also want to do whats called normalize it and by normalizing we mean yo
