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Neural Networks for Complete Beginners

This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;

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The Neural Architecture of Grammar

of neural function. Mechanisms of neurolinguistic function cannot be inferred solely from observations of normal and impaired language. In The;

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Deep Learning on Edge Computing Devices

learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and;

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Automated Deep Learning Using Neural Network Intelligence

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI;

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Learning in Energy-Efficient Neuromorphic Computing - Algorithm and Architecture Co-Design

many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book;

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Neural Networks Theory

methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural;

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Neurocomputing

execution on a GPU; EEG montages for the diagnosis of Alzheimer's disease; design and training of neural architectures using extreme learning;

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Grammatical and Syntactical Approaches in Architecture

Shape grammar and space syntax have been separately developed but rarely combined in any significant way. The first of these is typically;

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Grammatical and Syntactical Approaches in Architecture

Shape grammar and space syntax have been separately developed but rarely combined in any significant way. The first of these is typically;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware;

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New Developments in Computer Networks

This new book presents and discusses current research in the study of computer networks. Topics discussed include an in-depth analysis;

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How to Build a Brain

cognitive architectures. Along the way, the book considers neural coding, concept representation, neural dynamics, working memory, neuroanatomy;

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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control;

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Designs and Applied Principles of Artificial Neural Networks

This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural;

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Simulating Neural Networks with Mathematica

This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers;

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Artificial Neural Networks

This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their;

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Tree-Based Convolutional Neural Networks

. TBCNNsare related to existing convolutional neural networks (CNNs) and recursive neural networks (RNNs), but they combine the merits of both: thanks;

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Wireless Power Transfer and Data Communication for Intracranial Neural Recording Applications

This book describes new circuits and systems for implantable wireless neural monitoring systems and explains the design of a batteryless;

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Wireless Power Transfer and Data Communication for Intracranial Neural Recording Applications

This book describes new circuits and systems for implantable wireless neural monitoring systems and explains the design of a batteryless;

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Human Memory Modeled with Standard Analog and Digital Circuits

of ferroelectric behavior of neural membranes, moving to the logical properties of neural pulses recognized as solitons, and finally exploring the;

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Artificial Neural Networks with Java

Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second;

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Patterns and Procedures

elements of grammar in the most commonly taught languages which are absent or different from those in English, and suggests ways of building up the;

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Principles Of Artificial Neural Networks (3rd Edition)

architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various;

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Where Does Binding Theory Apply?

An exploration of the architecture of the grammar, where conditions apply, and the nature of the lexical/functional split. This concise but;

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Ultra Wide Band Band Pass Filter

This book provide the Detailed Knowledge of the design of Artificial Neural Network (ANN) based PID controller, to realize fast governor;

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