This is so beautifully done! What you emphasize is why the methods work, based on data-inetrnal correlation, not just how the steps of how the machines described, DAE and VAE, calculate. Thank you!!
@carlosgarciagomez23652 жыл бұрын
Brilliant explanations and huge work on the video! Really appreciated.
@shaz-z5062 жыл бұрын
Very intuitive explanation, thank you Luis for making this topic easy to understand.🙂
@amirrezamehrabi724010 ай бұрын
Brilliant explanation
@aparnadinesh226 Жыл бұрын
Really beautiful explanations & examples. very well explained with animations
@ocamlmail Жыл бұрын
Thank you so much! So clear and helpful! Really great job.
@DoppiaDx Жыл бұрын
amazing explanation, thank you
@amirhamidi99702 жыл бұрын
thank you for your great video. just a quick note that at time 13:08, we get the value of -1 and not 1.
@SerranoAcademy2 жыл бұрын
Yikes, you're right! Thank you for the correction!
@isabelfsv Жыл бұрын
Definitivamente el mejor!!
@damianliu15072 жыл бұрын
Love your videos, I was just about to look into this subject!
@optimal-iiit2 жыл бұрын
Very nice explaination for beginners!
@SerranoAcademy2 жыл бұрын
Thank you! :)
@GuiguiGamer03 Жыл бұрын
Thanks, that was really helpful !!!
@woojay5 ай бұрын
So good. Thank you.
@franciscoalmeida50162 жыл бұрын
Great video!
@pseudounknow55592 жыл бұрын
As always your video is a masterpiece !
@SerranoAcademy2 жыл бұрын
Thank you so much, glad you liked it! :)
@samirelzein10952 жыл бұрын
great as usual!
@SerranoAcademy2 жыл бұрын
Thank you Samir!
@arvyzukai Жыл бұрын
30:05 has a typo on the graph. q3 should be 0.4 and not 0.3 in order to sum to 1 and also to be inline with the calculations (where 0.4 is used). Just a note :) Great content by the way!
@SerranoAcademy Жыл бұрын
Ahh you're right, thank you so much for the correction! I can't change the video but will add a comment below.
@fairuzshadmanishishir81712 жыл бұрын
Make videos on Graph Neural network please
@engineren54512 жыл бұрын
super nice! Thanks a lot!
@SerranoAcademy2 жыл бұрын
Thank you, glad you liked it!
@francescserratosa32842 жыл бұрын
🙂Excellent!
@Chill_Magma11 ай бұрын
Hello there Mr Serrano this is a great intuitive video but I have a question . On 28:26 I believe that the mean and variance may vary from input to input right? So doesn't that mean that the purple and green distributions should become dissimilar on each sample inserted? Thank you Mr Serrano.
@420_gunna3 ай бұрын
Total nit: 2:47 "The shrunk data is called the latent space" --> The shrunken data is called the latent (a vector), which exists in whatever d-dimensional latent space you have 👍, right?
@mostechroom97802 жыл бұрын
Hi, great video, how do you make your amazing illustrations and animations ?
@nehalkalita2 ай бұрын
3:25 states that VAEs are good at generating high resolution images. In some other videos, I found that this method is not so good for high resolution images.
@andywub2 жыл бұрын
you're saving my graduate research lmao
@xentox50162 жыл бұрын
at 25:00 shouldnt it be a "large/small loss" instead of a "large/small loss function"? Im not really shure if i understood this right
@vikramganesh3095Ай бұрын
I understand how a VAE is trained in an unsupervised way. How is a DAE trained? Is it done in the same way?
@udaya20088 ай бұрын
@SerranoAcademy Where did the first idea/intuition occurred for the first researcher who proposed that the equal diagonal values have property to denoise? you are just riding on the idea, better if you can share more information on it.