Trent University Graduate Thesis Collection

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tula:etd
Type
Collection
Language
eng
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1 item
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Copyright for all items in the Trent University Graduate Thesis Collection is held by the author, with all rights reserved, unless otherwise noted.
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Representation Learning with Restorative Autoencoders for Transfer Learning

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Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Fichuk, Dexter Lamont, Thesis advisor (ths): McConnell, Sabine, Degree committee member (dgc): Hurley, Richard, Degree granting institution (dgg): Trent University
Abstract: <p>Deep Neural Networks (DNNs) have reached human-level performance in numerous tasks in the domain of computer vision. DNNs are efficient for both classification and the more complex task of image segmentation. These networks are typically trained on thousands of images, which are often hand-labelled by domain experts. This bottleneck creates a promising research area: training accurate… more
Full Text: Representation Learning with Restorative Autoencoders for Transfer Learning A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science …