OBJECTIVE AND SCOPE: Deep Learning and Pattern Recognition is a mature but exciting and rapidly growing field that underpins the development of related areas such as computer vision, image processing, text and document analysis, and neural networks. It is very similar to machine learning and also evaluates rapidly growing areas such as biometrics, bioinformatics, multimedia data analysis and, more recently, data science. The journal accepts papers that make original contributions to the theory, methods, and applications of pattern recognition and deep learning in any field, provided that the context of the work is clearly explained and based on the pattern recognition literature. The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific persons, (2) reviews of developments in the field, and (3) teaching papers in specific areas of interest in subject matter pattern recognition.