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This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics.
This book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019.Our everyday life is unthinkable without optimization.
This book introduces the state-of-the-art algorithms for data and computation privacy.
The book concludes with a discussion of the eight key challenges: delimiting a language (concrete representation), delimiting the abstract content of a language,... Læs mere
To distinguish this textbook from others, the author considers probabilistic methods as being fundamental for the construction of simple and efficient algorithms, and in each chapter at least one problem is solved using a randomized algorithm.
This book constitutes the refereed proceedings of the 20th International... Læs mere
This book offers a self-contained guide to advanced algorithms and their applications in various fields of science.
This book teaches algebra and geometry. The authors dedicate chapters to the key issues of matrices, linear equations, matrix algorithms, vector spaces, lines, planes,... Læs mere
This book offers readers fresh insights on applying Extended Reality to Digital Anatomy, a novel emerging discipline. Several chapters serve as practical manuals for students and trainers in anatomy to refresh or develop their Digital Anatomy skills.
This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2020.