Introduction to Convolutional Neural Networks for Visual Recognition (Stanford)

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars.

Core to many of these applications are visual recognition tasks such as image classification, localization and detection.

Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems.

Help Us Improve This Page Updated at Tue, Feb 7, 2023