Experiments on the generalization and learning dynamics of deep neural networks
Author(s)
Liang, Robert Xinyu.
Download1129252272-MIT.pdf (4.376Mb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Tomaso Poggio.
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Metadata
Show full item recordAbstract
In the recent few years, deep learning has had great successes in many applications such as image recognition. However, theory seems to lag behind application in this field, and one goal has been to provide principles and solve puzzles. Some goals during this thesis work were to develop new software tools for deep learning researchers, run experiments related to the research of CBMM (Center for Brains, Minds, and Machines), and create graphs for papers published by CBMM.
Description
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (page 47).
Date issued
2019Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.