This book provides insights into deep learning techniques that impact
the implementation strategies toward achieving the **Sustainable
Development Goals (**SDGs) laid down by the United Nations for its 2030
agenda, elaborating on the promises, limits, and the new challenges. It
also covers the challenges, hurdles, and opportunities in various
applications of deep learning for the SDGs. A comprehensive survey on
the major applications and research, based on deep learning techniques
focused on SDGs through speech and image processing, IoT, security,
AR-VR, formal methods, and blockchain, is a feature of this book. In
particular, there is a need to extend research into deep learning and
its broader application to many sectors and to assess its impact on
achieving the SDGs. The chapters in this book help in finding the use of
deep learning across all sections of SDGs. The rapid development of deep
learning needs to be supported by the organizational insight and
oversight necessary for AI-based technologies in general; hence, this
book presents and discusses the implications of how deep learning
enables the delivery agenda for sustainable development.