Mapping the Distribution of Seagrass Meadows from Space with Deep Convolutional Neural Networks
Offered By: Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC) via YouTube
Course Description
Overview
Explore cutting-edge techniques for mapping seagrass meadows using satellite imagery and deep convolutional neural networks in this 30-minute conference talk from the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC). Discover how advanced machine learning algorithms are revolutionizing marine ecosystem monitoring, enabling more accurate and efficient mapping of these crucial underwater habitats. Learn about the challenges and opportunities in applying deep learning to remote sensing data, and gain insights into the potential applications of this technology for conservation efforts and environmental management.
Syllabus
Mapping the distribution of seagrass meadows from space with deep convolutional neural networks
Taught by
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent