Courses, MIT OpenCourseWare

MIT 15.773 Hands-On Deep Learning Spring 2024

11 lectures, 13 hr 45 min in all

Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep-learning-spring-2024 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60YyhMjYmXuVmX562QcClSp This is a fast-paced introduction to Deep Learning with an emphasis on developing a practical understanding of how to build models to solve complex problems involving unstructured data. Topics include the basics of deep neural networks and how to set up and train them, convolutional networks to process images and videos, transformers for natural language processing, generative large language models (such as ChatGPT), and text-to-image models (such as MidJourney). Prior familiarity with Python and fundamental machine learning concepts (such as training/validation/testing, overfitting/underfitting, and regularization) is required. License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.