Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
Stanford CS25: Transformers United Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers are finding applications all over Deep Learning, be it computer vision (CV), reinforcement learning (RL), Generative Adversarial Networks (GANs)…
XCS231N Deep Learning for Computer Vision, the professional education version of the graduate course CS231N Deep Learning for Computer Vision, begins August 3rd and runs through October 11th. Enrollment is open now. Learn course details: https://stanford.io/XCS231N-YouTube Computer Vision has becom…
Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which invol…
Instructor: Michael Short View the complete course: https://ocw.mit.edu/22-01F16 This course provides an introduction to nuclear science and its engineering applications. It describes basic nuclear models, radioactivity, nuclear reactions and kinematics; covers the interaction of ionizing radiation…