Speeding up deep neural network training with decoupled and analytic learning

• Main Author: Zhuang, Huiping
• Other Authors: Lin Zhiping
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/153079
• Institution: Nanyang Technological University

Training deep neural networks usually demands a significantly long period of time. In this thesis, we explore methods in two different areas, i.e., decoupled learning and analytic learning, in order to reduce the training time. In decoupled learning, new methods are proposed to alleviate the sequ...