Syllabus cs231n. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision. Check Ed for any exceptions. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving car CS231n: Deep Learning for Computer Vision Stanford - Spring 2025 Schedule Lectures will occur Tuesday/Thursday from 12:00-1:20pm Pacific Time at NVIDIA Auditorium. The syllabus for the Spring 2019, Spring 2018, Spring 2017, Winter 2016 and Winter 2015 iterations of this course are still available. Unless otherwise specified the lectures are Tuesday and Thursday 12pm to 1:20pm in the NVIDIA Auditorium in the Huang Engineering Center. This is the syllabus for the Spring 2019 iteration of the course. The syllabus for the Spring 2017, Winter 2016 and Winter 2015 iterations of this course are still Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. . (more information available here ) Unless otherwise specified, the lectures are Tuesdays and Thursdays from 1:00PM to 2:20PM. Core to many of these applications are the tasks of image classification, localization and detection. sqmyc xto gllb yllwgasz fas groftd umw xfsism hfc iisou