Recent advances in deep learning

Focusing on recent developments in DL architectures and their applications, the articles in this issue are classified into four categories: (1) deep architectures and conventional neural networks, (2) incremental learning, (3) recurrent neural Networks, and (4) generative models and adversarial examples.