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
This video is so good, if you already know the subject 50%
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.
Your explanation is super brother one of the best
That’s such a great explanation, thank you!
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.
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 ?
Why did u use 256 dimensions? Whats so special about 256?
❤ from ಬೆಂಗಳೂರು
Hearts from me too! Thanks for commenting fellow Kannadiga :)
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
quality video. thanks 👍
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
my saviour.
Anytime haha
Great video!
Danke Mann!
what makes these different than tokenizers
Thank you for this video :)
My pleasure :)
@@CodeEmporium Your new, more historical series is a great contribution to yt :D
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
sir neevu kannadigara wow?? do u work in usa sir ?
or pursuing any degree?
Could not get anything from this. too complex
Sir r u from Karnataka
Yep :)