Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision; and (3) the application areas that have the potential to be impacted significantly by deep learning and that have been benefitting from recent research efforts, including natural language and text processing, information retrieval, and multimodal information processing empowered by multi-task deep learning.

深度学习：方法和应用概述了一般的深度学习方法及其在各种信号和信息处理任务中的应用。选择应用领域时考虑以下三个标准：（1）作者的专业知识或知识；（2） 深度学习技术的成功应用已经改变了应用领域，如语音识别和计算机视觉；（3）深度学习可能会对应用领域产生重大影响，并从最近的研究工作中受益，包括自然语言和文本处理、信息检索以及多任务深度学习所赋予的多模态信息处理。