Vision Transformer - Lecture 14

Explore the cutting-edge world of Vision Transformers in this comprehensive lecture from MIT's 6.5940 course on Efficient Machine Learning. Delve into the revolutionary application of transformer architectures to computer vision tasks, guided by Professor Song Han. Learn about the key principles, advantages, and implementation details of Vision Transformers, understanding how they differ from traditional convolutional neural networks. Discover the latest advancements in this rapidly evolving field and gain insights into how Vision Transformers are reshaping the landscape of image recognition, object detection, and other visual AI applications. Access accompanying slides for enhanced learning and visual aids to reinforce complex concepts. Perfect for students, researchers, and professionals seeking to expand their knowledge in advanced machine learning techniques for computer vision.