Transformers and Self-Attention (DL 19)

[@browncow7113]

Simply superb pedagogical style. I am looking forward to watching many of your other videos.

[@sagar3482]

I really never comment
But this is the best explanation on complete internet for transformation.
Really appreciate your hard work.
Thanks for sharing this content for free

[@jeangatti9384]

Excellent explanation, very clear, loving your teaching style clear and not too fast. Thanks so much

[@AdityaSingh-qk4qe]

This was superb, I never thought learning the transformer architecture can be completed in 17 minutes - and if viewed at 2x within 8-9 minutes - and the explanation was very very good.

[@1166NYC]

When I was first studying machine learning, there were only supervised and unsupervised methods of learning with all these different application-specific structures like CNN and RNN. I'm so excited about the future. Transformers are a crazy step towards greater achievement in ML. Your video is well-explained and helps my comprehension of this next step. Thanks!

[@XuanJr.]

Your video is the ideal style for studing CS

[@minkijung3]

It's clear and accurate!!! Thank you very much for making this video!!

[@Azman_Hamid]

This is gold.

[@AdityaSingh-qk4qe]

Hope sir that you can make more new videos on deep learning - your videos are succinct and also full of information

[@gauravmenghani4]

Very well explained. Could you also 'augment' this lecture by explaining the intuition behind Q, K, and V? Thanks!