MIT's introductory program on deep learning methods with applications to natural language processing, computer vision, biology, and more! Students will gain foundational knowledge of deep learning algorithms, practical experience in building neural networks, and understanding of cutting-edge topics including large language models and generative AI. Program concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!
The 2024 in-person edition has completed and was held in MIT Room 32-123. The online edition of the course is live on Monday at 10am ET, every week!
[Code]
[Video]
[Video]
We are expecting very elementary knowledge of linear algebra and calculus. How to multiply matrices, take derivatives and apply the chain rule. Familiarity in Python is a big plus as well. The program will be beginner friendly since we have many registered students from outside of computer science.
If you would like to receive related updates and lecture materials please subscribe to our YouTube channel and sign up for our mailing list.
All materials are open-sourced to the world for free and are copyrighted under the MIT license. If you are an instructor and would like to use any materials from this program (slides, labs, code), you must add the following reference to each slide:
© Alexander Amini and Ava Amini
MIT Introduction to Deep Learning
IntroToDeepLearning.com
All materials are copyrighted and licensed under the MIT license. If you are an instructor and would like to use any materials from this program (slides, labs, code), you must add the following reference to each slide:
© Alexander Amini and Ava Amini
MIT 6.S191: Introduction to Deep Learning
IntroToDeepLearning.com
If you are an MIT student, postdoc, faculty, or affiliate and would like to become involved with this program please email introtodeeplearning-staff@mit.edu. We are always accepting new applications to join the program staff.
This class would not be possible without our amazing sponsors and has been sponsored by Google, IBM, NVIDIA, Microsoft, Amazon, LambdaLabs, Tencent AI, Ernst and Young, and Onepanel. If you are interested in becoming involved in this program as a sponsor please contact us at introtodeeplearning-staff@mit.edu.
Copyright © MIT 6.S191. banner image