Advances in machine learning and deep neural networks

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.