Stanford CS231N Deep Learning for Computer Vision I 2025 - Stanford CS231N | Spring 2025 | Lecture 2: Image Classification with Linear Classifiers

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 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/ 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