Profile
Name
Hedu AI by Batool Haider
Description
Hello! :) This is Batool Arhamna Haider (yeah, a magnificently long name :D). I have held several awesome research positions in the domain of deep learning/machine learning, including Amazon AI in the Silicon Valley. I went to Stanford University (California, USA) to obtain my post-grad engineering degree.
On this channel, let's explore the intuition behind world-famous deep learning algorithms and keep up with the latest trends. We'll go beyond buzzwords and understand how these unicorns actually work, down to the nuts and bolts.
On this channel, let's explore the intuition behind world-famous deep learning algorithms and keep up with the latest trends. We'll go beyond buzzwords and understand how these unicorns actually work, down to the nuts and bolts.
Subscribers
11.8K
Subscriptions
Friends
Channel Comments
|
nurjafri
(3 minutes ago)
Damn. This is exactly what a developer coming from other backgrounds need.
|
|
ML-ok9nf
(10 minutes ago)
Absolutely underrated, hands down one of the best explanations I've found on the internet
|
|
devchoudhary8892
(18 minutes ago)
best, best best explanation on transformer, you are adding so much value to the world.
|
|
MrPepto93
(27 minutes ago)
This is by far the best explanation I've watched. Literally after I don't know, 15-20 explainers, you are the only one who explained Input-output steps one by one, with matrices and vectors. This is what I've been looking for. Most of the times, authors focus mainly on "concepts" and high level view, but you actually help to grasp the implementation. Thank you very much, gonna sub.
|
|
rohanvaidya3238
(31 minutes ago)
Best explanation ever on Transformers !!!
|
|
Testuszr1102
(47 minutes ago)
I've been stuck for so long trying to get the Transformer Neural Networks and this is by far the best explanation ! The examples are so fun making it easier to comprehend. Thank you so much for you effort !
|
|
ja100o
(51 minutes ago)
I'm currently reading a book about transformers and was scratching my head over the reason for the multi-headed attention architecture.
|
|
sebastiangarciaacosta5468
(2 hour ago)
The best explanation I've ever seen of such a powerful architecture. I'm glad of having found this Joy after searching for positional encoding details while implementing a Transformer from scratch today. Valar Morghulis!
|
|
MGMG-li6lt
(1 hour ago)
Finally! You delivered me from long nights of searching for good explanations about transformers! It was awesome! I can't wait to see the part 3 and beyond!
|
Add comment