Provides practical guidelines for designing and refining deep learning systems
Explores current trends in deep learning topologies for up-to-date insights
Offers competitive solutions for language modeling, graph representation, and forecasting
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Studies in Computational Intelligence Pedrycz, Witold; Chen, Shyi-Ming This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise t