Understanding variations (variant & invariant) of classification tasks/targets

• 主要作者: Wan, Tai Fong
• 其他作者: Althea Liang
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2020
• 主題: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• 在線閱讀: https://hdl.handle.net/10356/138001

There still lacks a certain mechanism to cater for variance in data and a lack of levels of impact brought by variance. We introduce a composite term called learning, where average improvement upon every epoch divided by previous loss value to have a standard reference across our models of differing...