Faculty Advisor

Beck, Joseph E.

Abstract

This paper examines how the changes in factors of a deep learning network can affect the output. The experiments were undertaken by modifying the features of deep learning network in order to view the differences in output. It was found that the single output network has a better performance on most of the output values, while multiple output network has a better root-mean-squared error performance and an obvious decrease in wheel spin.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2018

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

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