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  • Neural Networks and Deep Learning: A Textbook | SpringerLink
    This book covers both classical and modern models in deep learning The primary focus is on the theory and algorithms of deep learning The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications
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    Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this self-contained and well-organized book highlights the need for new models of computing based on the fundamental principles of neural networks Professor Yegnanarayana compresses, into the covers of a single volume, his several years of
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    Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence All parts have been updated with the methods that have been proven to work
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    ARTIFICIAL NEURAL NRETWORKS : YEGNANARAYANA: Amazon in: Books Skip to Main content : ‎ PRENTICE HALL INDIA; Standard Edition (22 June 1905); CBS PUBLISHERS AND DISTRIBUTORS PVT LTD , 204 F I E 5 0 out of 5 stars Best book for Artificial Neural Network Reviewed in India on 18 July 2017
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    B Yegnanarayana’s Artificial Neural Networks, published by Phi Learning Private Ltd , is a comprehensive introductory book for postgraduate and senior undergraduate students who have the subject prescribed in the syllabus of various courses It discusses both fundamental and advanced concepts in simple language, accompanied by diagrams, illustrations and real-life examples
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    The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular The online version of the book is now complete and will remain available online for free The deep learning textbook can now be ordered on Amazon
  • Artificial Neural Networks - SpringerLink
    This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas Chapters cover a wide variety of topics, including the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, the use of mass
  • ARTIFICIAL NEURAL NETWORKS - YEGNANARAYANA, B.
    Description: Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this self-contained and well-organized book highlights the need for new models of computing based on the fundamental principles of neural networks
  • 14 Best Deep Learning Books for Beginners and Experts in 2025 - Hackr
    Why we chose this book Freshly released in a new edition for 2024, our research showed that the author, Charu Aggarwal, is a Distinguished Research Staff Member (DRSM) of the IBM Research Center in New York Charu draws on his experience to explain how various neural networks work at a conceptual level
  • Principles Of Artificial Neural Networks: Basic Designs To Deep . . .
    The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning This must-have compendium presents the theory and case studies of artificial neural networks The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are





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