From Autoencoders to Variational Autoencoders: Improving the Encoder

thanks dude

Valerio, at around the 20 minute mark, you mention that the capital Sigma vector can be considered to be the variance vector. I was assuming this to be the vector of standard deviations. Could we consider it it to be a vector of standard deviations instead? Also, why would it be a problem if the standard deviations are always positive? Won't there be negative values in small epsilon vector (which represents a point in the higher dimensional space), causing the values to be spread on both sides of the means in their respective dimensions?

This is probably the clearest explanation of this concept (yet) that I have found online - I love your style! :)

your videos are as clear as a dew drop in the ocean of videos on this topic out there...thanks to your efforts.. and really well explained.. your one of the best ML experienced teacher's out there among the research intellects.

It was great, thank you

Wow Valerio, this is a great piece. I must admit that i have never come across a good teacher like you. Thumbs up.

love the trick about making variance a non positive only value 🙂

Same for me, probability and statistics course is a must in ML field, thank you for your work :)

Amazing video
Thank you so much

Interested in probability and statistics course too

Sir, I've watched many videos on Variational Autoencoders and this was the best explanation thanks

You are amazing valerio. Thank you for you great channel

great video!

Definitely interested in a probability/statistics course!

Can't wait for the next. Exceptional work!

You are amazing valerio. Thank you for you great channel ;)

Would love to hear some audio samples generated with these methods. Would AudioMNIST be a suitable maybe (speech of characters 0-9)? Or maybe a dateset of notes with different timbre?

The math is always correct. The outliers represents the minority of general population (observations), meaning very far away from the the mean value as this exceptional (outlier) YT channel! Thanks Valerio for spreading the beauty of knowledge!

Fantastic....thanks a ton. Keep it up.