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In recent years, deep learning techniques have been rapidly evolving and advancing, which has resulted in such approaches finding their way into almost all fields where machine learning had already been used or where classic algorithms were still the chosen solution. From image classification and image segmentation to natural language translation and climate modeling, the deep learning approaches have consistently outperformed the best previous algorithms. This special issue aims to capture thedoi:10.1007/s13735-020-00194-y fatcat:5c75uxy2cbfavilizrmmtv5qra