Deep Learning Foundations by Soheil Feizi : Transformers
Explaining transformers: encoders and decoders
Жүктеу.....
Пікірлер: 15
@simaranjbari3 ай бұрын
your explanation was very nice and easy to understand. Thank you!
@user-pz5nn2kg2j6 ай бұрын
Thanks for updating this really amazing course. I've read the syllabus of this semester, and find it is really interesting, especially the generative models and multi-modal models part. Hope to see more latest course videos. Thanks a lot for your effort of sharing the contents of this amazing course.
@junqi70506 ай бұрын
Thank Soheil for sharing the updated deep learning theory courses. I ever followed Sohail's former lectures in 2020, where I learned the theoretical knowledge of deep learning in terms of representation, generalization, and optimization. I found that Soheil's course schedule this year has substantially changed to state-of-the-art transformer-based technologies, such as large language models, etc. I plan to catch up with Sohail's updated deep learning foundation course this year and really appreciate the new lecture videos.
@hesamce6 ай бұрын
Thank you for sharing the updated version of the course🙏
@Nerraruzi6 ай бұрын
Thanks so much for sharing this updated version of the course!!
@fierydino94024 ай бұрын
Wonderful lecture!! Thank you for sharing
@shayanmohammadizadeh1726 ай бұрын
It's minute 30 of the video and I have watched +8 ads. Really attention is all we need!
@Umar-Ateeq
4 ай бұрын
you can use "adblock for youtube" extension to avoid ads.
@naeemkhoshnevis5 ай бұрын
Thanks for uploading the lectures.
@mozhganmomtaz81695 ай бұрын
I just want to thank you 🤗
@mohammadshahbazhussain20296 ай бұрын
Thank you for sharing it
@sdiabr67925 ай бұрын
Real quality content
@bardiasafaei4574 ай бұрын
Thank you Soheil for the great content and the clear way of explanation! Could you also share the final written notes of each session for download?
@user-pz5nn2kg2j6 ай бұрын
Hi professor, I was also wondering that if you plan to to add some contents related to distanglement learning? like nonlinear ICA which I think is very theoretically interesting and important.
@user-pz5nn2kg2j
6 ай бұрын
Sorry, there's a typo. It should be 'disentanglement'.
Пікірлер: 15
your explanation was very nice and easy to understand. Thank you!
Thanks for updating this really amazing course. I've read the syllabus of this semester, and find it is really interesting, especially the generative models and multi-modal models part. Hope to see more latest course videos. Thanks a lot for your effort of sharing the contents of this amazing course.
Thank Soheil for sharing the updated deep learning theory courses. I ever followed Sohail's former lectures in 2020, where I learned the theoretical knowledge of deep learning in terms of representation, generalization, and optimization. I found that Soheil's course schedule this year has substantially changed to state-of-the-art transformer-based technologies, such as large language models, etc. I plan to catch up with Sohail's updated deep learning foundation course this year and really appreciate the new lecture videos.
Thank you for sharing the updated version of the course🙏
Thanks so much for sharing this updated version of the course!!
Wonderful lecture!! Thank you for sharing
It's minute 30 of the video and I have watched +8 ads. Really attention is all we need!
@Umar-Ateeq
4 ай бұрын
you can use "adblock for youtube" extension to avoid ads.
Thanks for uploading the lectures.
I just want to thank you 🤗
Thank you for sharing it
Real quality content
Thank you Soheil for the great content and the clear way of explanation! Could you also share the final written notes of each session for download?
Hi professor, I was also wondering that if you plan to to add some contents related to distanglement learning? like nonlinear ICA which I think is very theoretically interesting and important.
@user-pz5nn2kg2j
6 ай бұрын
Sorry, there's a typo. It should be 'disentanglement'.