TY - JOUR
TI - Advances in Machine Learning and Deep Neural Networks
AU - Chellappa, R.
AU - Theodoridis, S.
AU - Van Schaik, A.
JO - Proceedings of the IEEE
PY - 2021
VL - 109
TODO - 5
SP - 607-611
PB - Institute of Electrical and Electronics Engineers, Inc. (IEEE)
SN - 0018-9219
TODO - 10.1109/JPROC.2021.3072172
TODO - Deep learning;  Deep neural networks;  Learning systems, Hardware implementations;  Neural networks (NNS), Neural networks
TODO - This special issue covers promising developments in the related areas of machine learning (ML) and deep neural networks (NNs) and offers possible paths for the future. Deep neural networks (NNs) have offered performances much beyond of the incremental nature as compared to previous techniques. The scope of this issue is to put together a number of papers, written by world experts in the field, that try to provide some answers, to the possible extent, to the previously discussed problems, and at the same time to summarize research that has been carried in the related areas. The topics covered range from theory and algorithms to applications and hardware implementations.
ER -