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
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX