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The Sapphire Widow by Dinah Jefferies Read the opening extract of the brand new Dinah Jefferies book before its publication on 05/04/2018

Neural networks & fuzzy systems books

See below for a selection of the latest books from Neural networks & fuzzy systems category. Presented with a red border are the Neural networks & fuzzy systems books that have been lovingly read and reviewed by the experts at Lovereading.

With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Neural networks & fuzzy systems books and those from many more genres to read that will keep you inspired and entertained. And it's all free!


Recently Published

Artificial Neural Networks An Introduction by Kevin L. Priddy, Paul E. Keller Artificial Neural Networks An Introduction
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Provides the reader with an understanding of artificial neural networks (ANNs), and their application, with the biological systems, through the learning methods that have been developed, and the data collection processes, to the many ways ANNs are used. This text...
Format: Paperback - Released: 24/04/2018

Deep Learning with R_p1 by Joseph J Allaire Deep Learning with R_p1

Description Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as...
Format: Paperback - Released: 05/04/2018

Deep Neural Networks in a Mathematical Framework by Anthony L. Caterini, Dong Eui Chang Deep Neural Networks in a Mathematical Framework
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This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. In particular, the authors derive gradient descent algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks, deep autoencoders...
Format: Paperback - Released: 03/04/2018

Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic by Frumen Olivas, Fevrier Valdez, Oscar Castillo, Patricia Melin Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
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In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that...
Format: Paperback - Released: 22/03/2018

Deep Learning By Example A hands-on guide to implementing advanced machine learning algorithms and neural networks by Ahmed Menshawy Deep Learning By Example A hands-on guide to implementing advanced machine learning algorithms and neural networks

Deep Learning is a subset of Machine Learning and has gained a lot of popularity recently. This book introduces you to the fundamentals of deep learning in a hands-on manner. You will use Tensorflow to train different types of neural...
Format: Paperback - Released: 28/02/2018

Practical Convolutional Neural Networks Implement advanced deep learning models using Python by Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari Practical Convolutional Neural Networks Implement advanced deep learning models using Python
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This book helps you master CNN, from the basics to the most advanced concepts in CNN such as GANs, instance classification and attention mechanism for vision models and more. You will implement advanced CNN models using complex image and video...
Format: Paperback - Released: 27/02/2018

Deep Learning Essentials by Wei Di, Anurag Bhardwaj, Jianing Wei Deep Learning Essentials
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Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to...
Format: eBook - Released: 30/01/2018

Ensemble Machine Learning by Ankit Dixit Ensemble Machine Learning

An effective guide to using ensemble techniques to enhance machine learning models About This Book * Learn how to maximize popular machine learning algorithms such as random forests, decision trees, AdaBoost, K-nearest neighbor, and more * Get a practical approach...
Format: Paperback - Released: 21/12/2017

Coming Soon

TensorFlow for Deep Learning by Bharath Ramsundar, Reza Bosagh Zadeh TensorFlow for Deep Learning
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Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals.
Format: Paperback - Released: 30/04/2018

Other books in this genre

Ensemble Machine Learning by Radovan Kavicky Ensemble Machine Learning

An effective guide to using ensemble techniques to enhance machine learning models Key Features Learn how to maximize popular machine learning algorithms such as random forests, decision trees, AdaBoost, K-nearest neighbor, and more Get a practical approach to building efficient...
Format: eBook - Released: 21/12/2017

Recurrent Neural Networks for Short-Term Load Forecasting An Overview and Comparative Analysis by Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi Recurrent Neural Networks for Short-Term Load Forecasting An Overview and Comparative Analysis
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The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series.
Format: Paperback - Released: 17/11/2017

Neural Information Processing 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III by Derong Liu Neural Information Processing 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017.
Format: Paperback - Released: 28/10/2017

Artificial Neural Networks and Machine Learning - ICANN 2017 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II by Alessandra Lintas Artificial Neural Networks and Machine Learning - ICANN 2017 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed...
Format: Paperback - Released: 25/10/2017

Artificial Neural Networks and Machine Learning - ICANN 2017 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I by Alessandra Lintas Artificial Neural Networks and Machine Learning - ICANN 2017 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed...
Format: Paperback - Released: 25/10/2017

Neural Networks with R by Giuseppe Ciaburro, Balaji Venkateswaran Neural Networks with R
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Uncover the power of artificial neural networks by implementing them through R code. About This Book * Develop a strong background in neural networks with R, to implement them in your applications * Build smart systems using the power of...
Format: Paperback - Released: 27/09/2017

Convolutional Neural Networks in Visual Computing A Concise Guide by Ragav (Arizona State University, Tempe, USA) Venkatesan, Baoxin (Arizona State University, Tempe, USA) Li Convolutional Neural Networks in Visual Computing A Concise Guide
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This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems....
Format: Hardback - Released: 08/09/2017

Convolutional Neural Networks in Visual Computing A Concise Guide by Ragav (Arizona State University, Tempe, USA) Venkatesan, Baoxin (Arizona State University, Tempe, USA) Li Convolutional Neural Networks in Visual Computing A Concise Guide
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This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems....
Format: Paperback - Released: 07/09/2017

Advances in Fuzzy Logic and Technology 2017 Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'201 by Janusz Kacprzyk Advances in Fuzzy Logic and Technology 2017 Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'201

This volume constitutes the proceedings of two collocated international conferences: EUSFLAT-2017 - the 10th edition of the flagship Conference of the European Society for Fuzzy Logic and Technology held in Warsaw, Poland, on September 11-15, 2017, and IWIFSGN'2017 - The...
Format: Paperback - Released: 02/09/2017

Artificial Neural Network Applications for Software Reliability Prediction by Manjubala Bisi, Neeraj Kumar Goyal Artificial Neural Network Applications for Software Reliability Prediction
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Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time...
Format: Hardback - Released: 01/09/2017

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