Stanford CS231N | Spring 2025 | Lecture 2: Image Classification with Linear Classifiers

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. The data-driven approach 2. K-nearest neighbor 3. Linear Classifiers 4. Algebraic / Visual / Geometric viewpoints 5. Softmax loss 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/ Fei-Fei Li Sequoia Professor of Computer Science, and a Founding Co-Director of Stanford’s Human-Centered AI Institute Ehsan Adeli Assistant Professor of Psychiatry & Behavioral Sciences and, by courtesy, of Computer Science View the entire course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16