Just Love you videos man! Thanks for helping! I was scared of learning attention mechanisms at first but now everything is clear. It just helps a lot while working on projects when you know what is going on behind the scenes.
Hi, I love your videos! Just a minor thing: you mention a vocabulary of size 100 and a dense representation with 256 dimensions. What you meant is something like a vocabulary of 100k entries, right? On the other hand, the algorithm would work with 100 entries, too, I guess.
I am a newbie to ML so forgive me if I am wrong. I was going through your video and then something didn't make sense to me. At time 2:09 you said it is 100 x 1 vector but later you mentioned at 2:38 that its 1 x 100 vector. I think the latter is correct, right @CodeEmporium
![Lp. Сердце Вселенной #60 РОЖДЕНИЕ ЛОЛОЛОШКИ [Финал] • Майнкрафт](http://i.ytimg.com/vi/YoR0pAV9FVQ/mqdefault.jpg)
Just Love you videos man! Thanks for helping! I was scared of learning attention mechanisms at first but now everything is clear. It just helps a lot while working on projects when you know what is going on behind the scenes.
This UA-cam channel slays!
Your explanation is super brother one of the best
Hi, I love your videos! Just a minor thing: you mention a vocabulary of size 100 and a dense representation with 256 dimensions. What you meant is something like a vocabulary of 100k entries, right? On the other hand, the algorithm would work with 100 entries, too, I guess.
That’s such a great explanation, thank you!
Thank you for all the effort you put to make these subjects easy and accessible . As a newbie, could you please tell me where do I have to start ?
I am a newbie to ML so forgive me if I am wrong. I was going through your video and then something didn't make sense to me. At time 2:09 you said it is 100 x 1 vector but later you mentioned at 2:38 that its 1 x 100 vector. I think the latter is correct, right @CodeEmporium
When you say “n-gram vector” do you mean “bag of words vector”. I always thought it was the latter and haven’t heard the former
This video is so good, if you already know the subject 50%
what makes these different than tokenizers
Didn't this guy have a discord, does anyone know if its still up or could anyone send it. id love to be a part of this wonderful youtubers community
Why did u use 256 dimensions? Whats so special about 256?
❤ from ಬೆಂಗಳೂರು
Hearts from me too! Thanks for commenting fellow Kannadiga :)
Great video!
sir neevu kannadigara wow?? do u work in usa sir ?
or pursuing any degree?
Sir r u from Karnataka
Yep :)
my saviour.
Anytime haha
Danke Mann!
Thank you for this video :)
My pleasure :)
@@CodeEmporium Your new, more historical series is a great contribution to yt :D
quality video. thanks 👍
Thank you
Could not get anything from this. too complex