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.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Gu, Dasheng
• Wang, Xinyuan

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042618-093453

Advisor

• Beck, Joseph E.

Year

• 2018

Date created

• 2018-04-26

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright