Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization

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 For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai This lecture covers: 1. Regularization 2. Stochastic Gradient Descent 3. Momentum, AdaGrad, Adam 4. Learning rate schedules To learn more about enrolling in the graduate course, visit: https://online.stanford.edu/courses/cs231n-deep-learning-computer-vision To follow along with the course schedule and syllabus, visit: https://cs231n.stanford.edu/ Zane Durante PhD student at Stanford University, Computer Science View the entire course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16