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서지주요정보
Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence
서명 / 저자 Introduction to Deep Learning [electronic resource] : From Logical Calculus to Artificial Intelligence / by Sandro Skansi.
저자명 Skansi, Sandro. author. (orcid)0000-0002-3851-1186 https://orcid.org/0000-0002-3851-1186 aut http://id.loc.gov/vocabulary/relators/aut
단체명 SpringerLink (Online service)
판사항 1st ed. 2018.
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2018.
총서명 Undergraduate Topics in Computer Science, 2197-1781
Online Access https://doi.org/10.1007/978-3-... URL

서지기타정보

서지기타정보
ISBN 9783319730042
기타 표준번호 10.1007/978-3-319-73004-2
청구기호 Q325.5-.7
형태사항 XIII, 191 p. 38 illus. online resource.
언어 English
내용 From Logic to Cognitive Science -- Mathematical and Computational Prerequisites -- Machine Learning Basics -- Feed-forward Neural Networks -- Modifications and Extensions to a Feed-forward Neural Network -- Convolutional Neural Networks -- Recurrent Neural Networks -- Autoencoders -- Neural Language Models -- An Overview of Different Neural Network Architectures -- Conclusion.
주제 Machine learning.
Pattern recognition systems.
Neural networks (Computer science) .
Coding theory.
Information theory.
Machine Learning.
Automated Pattern Recognition.
Mathematical Models of Cognitive Processes and Neural Networks.
Coding and Information Theory.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783319730035 Printed edition: 9783319730059
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