Introduction to Deep Learning_ From Logical Calculus to Artificial Intelligence_Sandro Skansi.pdf

Undergraduate Topics in Computer Science Sandro Skansi Introduction to Deep Learning From Logical Calculus to Artificial Intelligence Undergraduate Topics in Computer Science Series editor Ian Mackie Advisory editors Samson Abramsky, University of Oxford, Oxford, UK Chris Hankin, Imperial College London, London, UK Mike Hinchey, University of Limerick, Limerick, Ireland Dexter C. Kozen, Cornell University, Ithaca, USA Andrew Pitts, University of Cambridge, Cambridge, UK Hanne Riis Nielson, Technical University of Denmark, Kongens Lyngby, Denmark Steven S. Skiena, Stony Brook University, Stony Brook, USA Iain Stewart, University of Durham, Durham, UK Undergraduate Topics in Computer Science (UTiCS) delivers high-quality instruc- tional content for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material tofinal-year topics and applications, UTiCS books take a fresh, concise, and modern approach and are ideal for self-study or for a one- or two-semester course. The texts are all authored by established experts in theirfields, reviewed by an international advisory board, and contain numerous examples and problems. Many include fully worked solutions. More information about this series at http://www.springer.com/series/7592 Sandro Skansi IntroductiontoDeep Learning From Logical Calculus to Artificial Intelligence 123 Sandro Skansi University of Zagreb Zagreb Croatia ISSN 1863-7310 ISSN 2197-1781 (electronic) Undergraduate Topics in Computer Science ISBN 978-3-319-73003-5 ISBN 978-3-319-73004-2 (eBook) https://doi.org/10.1007/978-3-319-73004-2 Library of Congress Control Number: 2017963994 ©Springer International Publishing AG, part of Springer Nature 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on