Repainting the Past with Distributed Machine Learning and Docker
Offered By: Docker via YouTube
Course Description
Overview
Explore a revolutionary approach to colorizing black and white video footage using distributed machine learning and Docker in this 20-minute conference talk. Learn how recurrent convolutional neural networks, combined with advanced scheduling, distribution, and orchestration techniques made possible by Docker, can dramatically reduce the cost of colorization. Discover how this innovative method automates the process of painting each frame, resulting in high-quality, realistic colorized videos in record time. Witness a live demonstration showcasing the power of this technology to breathe new life into historical footage and unlock the true stories hidden within millions of hours of black and white video.
Syllabus
Repainting the Past with Distributed Machine Learning and Docker
Taught by
Docker
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera Introduction to Computer Vision
Georgia Institute of Technology via Udacity