How to handle Uncertainty in Deep Learning #1.1

[@hongyili2295]

Look forward to your UQ series! Great help!

[@haizhoushi8287]

It confuses me why such a video of greaaat content gets only 1.5k views... Absolutely amazing video, thank you so much!

[@DeepFindr]

Thank you!!

[@hEmZoRz]

I'm confused too. Though, I'm 101% sure this channel will blow up in the near future. The quality of the content is out of this world, and the topics are unique and not covered on every other ML channel.

[@thegimel]

You are doing a great job with these videos, thanks!

[@DeepFindr]

Thank you!

[@viniciussantana8737]

Incredible vídeo. Thanks a Lot!

[@MakerBen]

Thanks for putting this together!

[@nguyenxuanthanh6988]

Brilliant!!! These videos help me a lot in understanding uncertainty. Could you make more videos regarding this topic? Thank you so much.

[@hongyili2295]

Hi, I was wondering why the Normal distribution formula at 8:33 uses x instead of y

[@DeepFindr]

Hi, the formula is just the general notation. But you are right, with y it would've been more suitable in that context :) thanks for pointing out

[@yuxiang3147]

Why do you need a neural network to predict Gaussian Mixture Model? Why not use a Gaussian Mixture Model directly?

[@InformationWoWiase]

This is amazing, Thanks! Would you recommend PyTorch over Tensorflow when modeling UQs?

[@DeepFindr]

Thanks! Meanwhile I mostly use Pytorch for all deep learning stuff. It's just quicker and less complicated for prototypes :)

[@murphp151]

This video is great

[@DeepFindr]

Thank you :)

[@amortalbeing]

could you also kindly specify your sources when you refer/report sth?
thanks a lot in advance

[@DeepFindr]

Hi!
What exactely are you referring to? :)
Typically I put all the sources in the video description

[@keegan8038]

? ?яⓞ??Ş?

[@DeepFindr]

I agree!