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Capstone Projects

Semi-supervised Learning Systems for Computer Vision Applications

Program: Data Science Master's
Location: Not Specified (onsite)
Student: Tony Chen

Semi-supervised learning is a machine learning approach that allows us to leverage both labeled and unlabeled data during the training process. In this project, I explore 3 different semi-supervised learning techniques which may help improve the performance of an image classifier. I will demonstrate how each technique can be incorporated into a typical training system, and provide my findings and thoughts on the method.