MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities

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Acerca de los autores: Jiann-Ming Wu is a mathematics educator in Taiwan. He currently serves National Dong Hwa University as a professor and head in the department of Applied Mathematics. In addition to holding a career in education, Dr. Jiann-Ming is known for the design of multilayer Potts perceptrons, generalized adalines, natural elastic nets, Mahalanobis-NRBF neural networks, state-regulated inverse neural networks, Potts ICA neural networks, Sudoku associative memory, and deep learning, inluding annealed Kullback-Leibler divergence minimization learning, annealed cooperative-competitive learning, hybrid mean-field-annealing and gradient descent deep learning, among others. Prior to entering a career in mathematics education, Dr. Jiann-Ming received a Bachelor of Science in Engineering and Computer Science from National Chiao Tung University in 1988. He went on to attend National Taiwan University, where he completed a Master of Science in Computer Science and Information Engineering in 1990 and a PhD in 1994. Dr. Jiann-Ming is certified in engineering through the International Neural Network Society.

Chao-Yuan Tien was born in Taiwan in 1995. He published Handwriting 99 Multiplication App on Apple’s App Store in 2018. He received the M.S. degree in applied mathematics from National Dong Hwa University, Hualien, Taiwan, in spring 2019, and the B.S. degree in applied mathematics from National Dong Hwa University, Hualien, Taiwan, in 2017. His research interesting includes Deep learning, MatConvNet deep learning, Caffe deep learning, iOS mobile App design.