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    Improving the Learning Platform for the Leukocoria Detection Project

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    Date
    2016-08-31
    Author
    Boer, James
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    Abstract
    ABSTRACT Improving the Learning Platform for the Leukocoria Detection Project James Boer, M.S. Mentor: Gregory J. Hamerly, Ph.D. In this paper we describe a new and signi cantly improved learning platform for the leukocoria detection project. We have developed an easily maintainable and extensible system that can train hundreds of semi-random convolutional neural networks very quickly on GPUs. Docker is used to enable simple and platform-agnostic deployment of the system. The Torch machine learning library is used to train the convolutional neural networks and a PostgreSQL database is used to store the training results. A literature review of recent convolutional neural network research is done to nd methods of improving accuracy. Training results are promising, with single-network performance at 96.6% using minimal data and 99.5% using data augmentation
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    http://hdl.handle.net/2104/9793
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    Copyright © Baylor® University All rights reserved. Legal Disclosures.
    Baylor University Waco, Texas 76798 1-800-BAYLOR-U
    Baylor University Libraries | One Bear Place #97148 | Waco, TX 76798-7148 | 254.710.2112 | Contact: libraryquestions@baylor.edu
    If you find any errors in content, please contact librarywebmaster@baylor.edu
    DSpace software copyright © 2002-2016  DuraSpace
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    Atmire NV