Online deep learning: Learning deep neural networks on the fly

• Main Authors: SAHOO, Doyen, PHAM, Hong Quang, LU, Jing, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Neural Networks; Online Learning; Time-series; Data Streams; Machine Learning; Deep Learning; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4083; https://ink.library.smu.edu.sg/context/sis_research/article/5086/viewcontent/7._May01_2018___Online_Deep_Learning_Learning_Deep_Neural_Networks_on_the_Fly__IJCAI2018_.pdf
• Institution: Singapore Management University

Deep Neural Networks (DNNs) are typically trained by backpropagation in a batch setting, requiring the entire training data to be made available prior to the learning task. This is not scalable for many real-world scenarios where new data arrives sequentially in a stream. We aim to address an open c...