Stanford CS231N Deep Learning for Computer Vision I 2025 - Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization

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 this 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