Single Image Super Resolution Using SRGAN
Offered By: DigitalSreeni via YouTube
Course Description
Overview
Explore the concept of Single Image Super-Resolution using SRGAN in this informative 29-minute video. Gain a comprehensive understanding by walking through the original publication, examining key details, perceptual loss, content loss, generator network, output, and discriminator. Delve into the intricacies of super resolution techniques and their applications in image processing.
Syllabus
Introduction
Super resolution
Paper
Key details
Perceptual loss
Content loss
Generator network
Output
Discriminator
Taught by
DigitalSreeni
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX