MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention
Alexander Amini
99,060 views
MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
** New 2026 Edition **
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
20 Comments
@babak.basharirad 6 hours ago (edited)
I have never seen a better explanation of RNN than this! clean and clear!
@MzVixen05 6 months ago
Okay but this is exactly what I was trying to learn over the past two days - miracles are possible? TYSM!!
@CelestialGrowth 6 months ago
Thanks Ava 🙏Great lecture to get the nuts and bolts of sequence models
@oddlysatisfying4619 6 months ago
Thanks a lot, phenomenal presentation with high quality visuals, i learned a lot , TY both! Hoping to see lots of videos from you guys!
@avescr594 4 months ago
I would recommend 3b1b attention in transformer video on deep learning series that makes much more sense for me at ATTENTION❤
@RajRishiYadav1996 6 months ago
Seriously, we are so blessed and lucky that no matter which part of the world we belong to, we still get this wonderful chance to learn from such extraordinary mentors and from one of the most prestigious institutions!
Thank you, MIT, Alexander, and Ava ❤️ a lot!
Lots of love from 🇮🇳 🙏
Thank you, MIT, Alexander, and Ava ❤️ a lot!
Lots of love from 🇮🇳 🙏
MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention
Alexander Amini
99,060 views
MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
** New 2026 Edition **
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!