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    1. Data och IT
    2. Systemvetenskap och AI

    Art of Learning

    Neural Networks and Education

    AvFrancis T.S. Yu,Edward H. Yu

    Häftad, Engelska, 2023

    348 kr

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    935 kr

    Beskrivning

    This book presents the idea that innovative ways of teaching and learning are very essential to retention and growth. Presented in 15 sections, the book starts with the common sense training on education and moves on to neural network operation. Throughout the book, the art of learning, associative, cognitive, and creative learning are stated and defined. Learning simplicity, information content as related to neural network learning are discussed. The author also discusses neural plasticity and adaptability in smarter neural networks.If we know our human brain’s basic abilities and limitation then a better educational methods can be implemented. Presents the idea that innovative ways of teaching and learning are very essential to retention and growth Discusses major differences and constraints between neural network and computer Presents the significances of learning simplicity and information content as related to neural network learning are included Stresses the neural network learning capabilities and limitations and their role in developing more efficient learning techniques

    Produktinformation

    • Utgivningsdatum:2023-10-02
    • Mått:138 x 216 x 5 mm
    • Vikt:1 120 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:98
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781032653181

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Pedagogisk psykologi inom Psykologi och pedagogik
    • Kognitiv psykologi inom Psykologi och pedagogik

    Mer om författaren

    Francis T. S. Yu received his B.S.E.E. degree from Mapua Institute ofTechnology Manila, Philippines, and his M.S. and Ph.D. degrees inElectrical Engineering from the University of Michigan. He has been aconsultant to several industrial and governmental laboratories. He is anactive researcher in the fields of optical signal processing, holography,information optics, optical computing, neural networks, photorefractiveoptics, fiber sensors, and photonic devices. He has published over fivehundred papers, in which over three hundred are referred. He is arecipient of the 1983 Faculty Scholar Medal for Outstanding Achievementin Physical Sciences and Engineering, a recipient of the 1984Outstanding Researcher in the College of Engineering, was named EvanPugh Professor of Electrical Engineering in 1985 at Penn State, arecipient of the 1993 Premier Research Award from the Penn StateEngineering Society, was named Honorary Professor in Nankai Universityin 1995, is the corecipient of the 1998 IEEE Donald G. FinkPrize Paper Award, was named Honorary Professor of the NationalChiao-Tung University in Taiwan, and is the recipient of the SPIE 2004Dennis Garbor Award. He has served as an associate editor editorialboard member, and a guest editor for various international journals. Heis the author and coauthor of nine books. Dr. Yu is a life fellow of IEEEand a fellow of OSA, SPIE, and PSC.Edward H. Yu is a teacher, writer, and the author of The Art ofSlowing Down: A Sense-Able Approach to Running Faster(PanentheaPress) and The Mass Psychology of Fittism: Fitness, Evolution & theFirst Two Laws of Thermodynamics (Undocumented Worker Press).Ann G. Yu lives and works in Los Angeles.

    Innehållsförteckning

    • Preface. Motivation. Common Sense on Training (or Education). Neural Networks. Major Differences between Neural Networks & Computers. Memory-Based Neural Networks. Artificial Neuron Operation. Associative Memory Neural Network. Supervised and Unsupervised Learning Neural Networks. Cognitive Learning (The Art of Understanding). Learning Simplicity (The Basics). Information Content and Neural Network Learning. Brain (Neural Network) Plasticity and Adaptively. Innovative Education (i.e., Training). Search for Innovative Education. A Few Thoughts to Share. Leadership in Education.