This course teaches learners about Generative Adversarial Minority Oversampling, including the concepts of Generative Adversarial Networks, Convex Generator, Additional Discriminator, and Least-Square Loss. The course aims to provide an understanding of the proposed method through slides and covers experiments and results using different datasets. The intended audience for this course is individuals interested in machine learning, data science, and artificial intelligence.
Overview
Syllabus
Intro
Outline
Introduction
Generative Adversarial Networks
Related Works
Proposed Method
Convex Generator
Additional Discriminator
Least-Square Loss
Experiments and Results
Datasets - higher resolution
Questions?
Taught by
UCF CRCV
Tags
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