Learn how to effectively research and implement new AI technologies like Vision Transformer (ViT) in this 29-minute tutorial that reveals proven strategies for staying current with AI developments. Explore essential resources including arXiv pre-prints in computer vision and AI, academic lectures from top institutions, HuggingFace's transformer libraries, and implementation examples through COLAB notebooks. Master the process of finding and understanding cutting-edge research through Papers with Code, focusing on computer vision classification methods and transformer architectures. Navigate through real-world applications, monthly code releases, and global AI publications while gaining practical insights into researching, learning, and implementing new AI technologies for content creation and development.
Learning Vision Transformer (ViT) Technology: Research Methods and Resources - 2023
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Overview
Syllabus
Learn new AI code
Arxiv pre-prints: cs.CV cs.AI
Stanford, MIT, Harvard lectures on YouTube
HuggingFace Transformer Library on Vision
COLAB Notebooks from authors
Papers with CODE - Methods
Computer Vision - Classification
Latest pre-prints Vision Transformer
Recent code per month
AI publications worldwide
Taught by
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