Variational AutoEncoder Paper Walkthrough

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OMG, you are literally my favorive youtuber now, you are making such good content, please do more videos where you go through ML papers, this is so useful! Keep up the good work

nikitaandriievskyi
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Related to VAEs, you could check adversarial autoencoders

ensabinha
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Diagonal Variance simplifies the calculations in general, the I matrices is a diagonal matrices meaning it will have values on the main diagonal (in this case 1) and 0 on the other values, in terms of shape that means that the distribution of points will be equal along all directions in terms of concentration of points.
Also the independence assumption allows to use some prob theory and p(x_1, x_2, ..., x_n) can be written as a product

martindippolito
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Hey Aladdin, the the DIAGONAL CONVARIANCE assumption should be related to the i.i.d assumption on the dataset. That's my thought

stnmtambat
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Hey, what hardware are you using for annotating, if any?

tigranmargaryan
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I think this guy barely knows what he is talking about.

yellowbullcow
welcome to shbcf.ru