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“limiao deng”

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  • Cognitive and Neural Modelling for Visual Information Representation and Memorization

    de Limiao Deng ...
    Focusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain.Breaking through traditional visual information processing methods, the author combines our understanding of perception and memory from the human brain with computer vision technology, ... Leer más

    $68.99 USD

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  • Deep Learning Neural Networks: Design And Case Studies

    de Daniel Graupe ...
    Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to ... Leer más

    $34.99 USD

  • MATLAB for Neuroscientists

    An Introduction to Scientific Computing in MATLAB

    de Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos ...
    MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. ... Leer más

    $74.99 USD

  • Self-Adaptive Systems for Machine Intelligence

    de Haibo He ...
    This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and ... Leer más

    $90.00 USD

  • MATLAB for Neuroscientists

    An Introduction to Scientific Computing in MATLAB

    de Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos, Pascal Wallisch ...
    MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and ... Leer más

    $89.99 USD

  • Computational Intelligence

    Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

    de Nazmul Siddique, Hojjat Adeli ...
    Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy ... Leer más

    $121.00 USD

  • Handbook of Functional MRI Data Analysis

    de Russell A. Poldrack, Jeanette A. Mumford, Thomas E. Nichols ...
    Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. ... Leer más

    $38.99 USD

  • Hyperparameter Tuning for Machine and Deep Learning with R

    A Practical Guide

    Edición de Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann ...
    Series series Computer Science (R0)
    This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods ... Leer más

    Gratis

  • Deep Belief Nets in C++ and CUDA C: Volume 1

    Restricted Boltzmann Machines and Supervised Feedforward Networks

    de Timothy Masters ...
    Series series Professional and Applied Computing (R0)
    Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers with CUDA-capable video display cards.The first of three in ... Leer más

    $31.99 USD

  • Brain-Inspired Computing

    4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers

    Edición de Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov ...
    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019.The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for ... Leer más

    Gratis

  • Deep Learning for Beginners

    A beginner's guide to getting up and running with deep learning from scratch using Python

    de Dr. Pablo Rivas ...
    Implement supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine with TensorFlowKey FeaturesUnderstand the fundamental machine learning concepts useful in deep learningLearn the underlying mathematical concepts as you implement deep learning models from scratchExplore easy-to-understand examples and use cases that will help you build a solid foundation in ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • The Science of Deep Learning

    de Iddo Drori ...
    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

    $54.99 USD