First Advisor
Melanie Mitchell
Date of Award
5-30-2019
Document Type
Thesis
Degree Name
Bachelor of Science (B.S.) in Computer Science and University Honors
Department
Computer Science
Subjects
Machine learning, Artificial intelligence, Neural networks (Computer science)
DOI
10.15760/honors.716
Abstract
Pretrained models could be reused in a way that allows for improvement in training accuracy. Training a model from scratch takes time. The goal is improving accuracy and minimizing the loss across individual epochs. The hypothesis is that transfer learning could potentially improve on the rate of accuracy and speed of training per epoch iteration.
Rights
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Persistent Identifier
https://archives.pdx.edu/ds/psu/28828
Recommended Citation
Le, Jordan T., "The Improvement of Machine Learning Accuracies Through Transfer Learning" (2019). University Honors Theses. Paper 699.
https://doi.org/10.15760/honors.716