Year: 2018
Type: article
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.
Source: Digital WPI
Authors: Xinyuan Wang, Dasheng Gu
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2939918890