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EbookBell Team
5.0
20 reviewsSpecifically, this book is a general introduction to deep learning theory that can serve as a textbook for students and researchers in machine learning, statistics, and other related areas. The reader is assumed to be familiar with basic concepts in linear algebra, probability, and analysis of algorithms. It covers fundamental modern topics in deep learning theory while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms.
