This article discusses the use of deep learning architectures, such as deep neural networks, in various fields such as computer vision, speech recognition, and natural language processing. It also explores the differences between artificial neural networks and biological brains. The article emphasizes the importance of multiple layers in deep learning and the potential for practical applications. The Special Issue focuses on a machine learning perspective in the era of convolutional neural networks.
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