Speeding up deep neural network training with decoupled and analytic learning

• المؤلف الرئيسي: Zhuang, Huiping
• مؤلفون آخرون: Lin Zhiping
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2021
• الموضوعات: Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/153079
• المؤسسة: 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...