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  • Normalization Techniques in Deep Learning

    de Lei Huang ...
    Series series Synthesis Collection of Technology (R0)
    This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have become basic components in most state-of-the-art DNN architectures. The author provides guidelines for elaborating, understanding, and applying ... Leer más

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  • Kriging in Slope Reliability Analysis

    Kriging can be used to determine optimal unbiased predictions for regionalized variables and has been shown to be a powerful tool in slope reliability analysis for reliability-based design. This is the first book to systematically cover the basic theory and applications of the method in slope reliability assessment.The book gives an extensive and detailed presentation of principles and ... Leer más

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  • The Inflation Mechanism and Expectations

    Evidence from China

    de Laya Li ...
    Traducido por Lei Huang ...
    Series series Economics and Finance (R0)
    This book reflects China's experience, model and theory of successful inflation control. The idea of Stabilization of Expectations emphasized by the Chinese government was primarily proposed in this book with systematic theoretical support. The theory framework initiated in this book has been about 10 years earlier than that of the European and American economists.The core theory of this work is ... Leer más

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  • The Innovation Competitiveness of BRICS Countries

    Series series Business and Management (R0)
    The book is devoted to the assessment of innovation competitiveness of BRICS countries. It covers different aspects of science, technology and innovation in BRICS including status of STI in each country, the intra-BRICS collaboration in the field of STI, prospects of collaboration with BRICS+ countries, as well as a special chapter covering innovation development of BRICS in ICT. The book presents ... Leer más

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  • Normalization Techniques in Deep Learning

    de Lei Huang ...
    Series series eBColl Synthesis Collection 11
    This book presents and surveys normalization techniques with a deep analysis in training deep neural networks. In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and ... Leer más

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  • Mechanics of Bio-Sediment Transport

    Series series Earth and Environmental Science (R0)
    The main focus of this book is the transport mechanics of sediment particles coated with microbial biofilm, which is called bio-sediment. The book also addresses the question of how to measure and simulate the considerable variation in the properties of natural sediment associated with microbial biofilm, ranging from the micro-scale surface morphology to the macro-scale sediment transport. ... Leer más

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  • Introduction to Transfer Learning

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    Series series Computer Science (R0)
    Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain ... Leer más

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  • Advances in Neural Networks - ISNN 2017

    14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part I

    Series Libro 1 - Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017.The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, ... Leer más

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  • Advances in Neural Networks – ISNN 2016

    13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of ... Leer más

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  • Applied Predictive Modeling

    This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic ... Leer más

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  • The Science of Deep Learning

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    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... Leer más

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