Neural networks & fuzzy systems books

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday...  Read More >>

Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing...  Read More >>

This book helps you master CNN, from the basics to the most advanced concepts in CNN such as GANs, instance classification...  Read More >>

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner About This Book • Get a...  Read More >>

Leverage the power of machine learning and Swift programming to build intelligent iOS applications with ease About...  Read More >>

This book introduces the core concepts of deep learning. Get implementation and research details on cutting-edge...  Read More >>

Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow About...  Read More >>

Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API. Text,...  Read More >>

Discover the world of ML through the lens and application of Core ML. We will take you through examples; each example...  Read More >>

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural...  Read More >>

You will build full-fledged, deep learning applications with Java and different open-source libraries. Master numerical...  Read More >>

This book presents the advances in AI techniques under the umbrella of Intelligent Computing. The book provides...  Read More >>

In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task...  Read More >>

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"This framework aims to get superior result of minimize overall query load time and processing time of big data...  Read More >>

Accurately detecting crack localization is not an easy task. This book addresses important issues in detecting crack-like...  Read More >>

Hands-On Graph Neural Networks Using Python is a comprehensive guide to building and training graph neural networks...  Read More >>

This book reviews and presents a number of approaches to Fuzzy-based system safety and reliability assessment. For...  Read More >>

All engineers compose code that adjusts to a structure of some sort or another. These systems help being developed...  Read More >>

The general scope of the book covers diverse areas of fuzzy systems, soft computing, AI tools such as uncertain...  Read More >>

SURNet is an integrated deep neural network architecture designed for cardiac image segmentation. Segmentation is...  Read More >>

This book covers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing...  Read More >>

The book helps you learn neural networks and implement them in R. It covers real-world use cases that will help...  Read More >>

This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples,...  Read More >>

This book provides the intuition behind the state of the art Deep Learning architectures such as ResNet, DenseNet,...  Read More >>