On the relation between neural network size and performance
Name
1124957898-MIT.pdf
Size
2.79 MB
Format
Adobe PDF
Checksum (MD5)
10ba89dabc0229c781d4dadd4c79e7e2
Author(s)
Rosenfeld, Jonathan S.(Jonathan Shmuel)
Advisor(s)
Nir Shavit.
Date Issued
2019
Publisher
Massachusetts Institute of Technology
Abstract
Artificial Neural Networks (NN) are notorious for their size requirements and for the effort involved in developing well performing network models. This thesis uncovers a fundamental relationship that ties model size and performance in a predictable manner. This relationship enables a well-founded development of networks at small scale while producing insight into their large-scale behavior.
Description
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 57-58).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
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