Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 6: CNN Architectures

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. Batch Normalization 2. Transfer learning 3. AlexNet, VGG, ResNet 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/ Zane Durante PhD student at Stanford University, Computer Science View the entire course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16