Advanced Computing category: 10844 books

Cover of Fuzzy Information and Engineering and Decision
by
Language: English
Release Date: September 15, 2017

This book introduces applications of mathematics and fuzzy mathematics in decision science, fuzzy geometric programming and fuzzy optimization as well as operations research and management, based on 44 research papers presented at three successful conferences: (1) The International Conference...
Cover of Language, Cognition, and Computational Models
by
Language: English
Release Date: January 25, 2018

How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific...
Cover of Electronic Visualisation in Arts and Culture
by
Language: English
Release Date: September 7, 2013

Presenting the latest technological developments in arts and culture, this volume demonstrates the advantages of a union between art and science. Electronic Visualisation in Arts and Culture is presented in five parts: Imaging and Culture New Art Practice Seeing Motion Interaction and Interfaces Visualising...
Cover of Algorithms and Models for Network Data and Link Analysis
by François Fouss, Marco Saerens, Masashi Shimbo
Language: English
Release Date: July 12, 2016

Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and...
Cover of Integrated Imaging and Vision Techniques for Industrial Inspection
by
Language: English
Release Date: September 24, 2015

This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering...
Cover of Current Trends on Knowledge-Based Systems
by
Language: English
Release Date: March 13, 2017

This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education,...
Cover of Motor Behavior

Motor Behavior

Programming, Control, and Acquisition

by J. Annett, W.D.A. Beggs, C.H.M. Brunia
Language: English
Release Date: December 6, 2012

In recent years there has been steadily increasing interest in motor behavior and a growing awareness that a person not only has to know what to do in a particular situation, but also how to do it. The question of how actions are performed is of central concern in the area of motor control. This volume...
Cover of Architecture Design for Soft Errors
by Shubu Mukherjee
Language: English
Release Date: August 29, 2011

Architecture Design for Soft Errors provides a comprehensive description of the architectural techniques to tackle the soft error problem. It covers the new methodologies for quantitative analysis of soft errors as well as novel, cost-effective architectural techniques to mitigate them. To...
Cover of Deep Learning with PyTorch Quick Start Guide

Deep Learning with PyTorch Quick Start Guide

Learn to train and deploy neural network models in Python

by David Julian
Language: English
Release Date: December 24, 2018

Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing. Key Features Clear and concise explanations Gives important insights into...
Cover of Machine Learning Algorithms

Machine Learning Algorithms

Popular algorithms for data science and machine learning, 2nd Edition

by Giuseppe Bonaccorso
Language: English
Release Date: August 30, 2018

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms Key Features Explore statistics and complex mathematics for data-intensive applications Discover new developments in EM algorithm, PCA, and bayesian regression Study patterns...
Cover of Hands-On Unsupervised Learning with Python

Hands-On Unsupervised Learning with Python

Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

by Giuseppe Bonaccorso
Language: English
Release Date: February 28, 2019

Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more Build your own neural network models using modern Python libraries Practical examples...
Cover of Hands-On Meta Learning with Python

Hands-On Meta Learning with Python

Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

by Sudharsan Ravichandiran
Language: English
Release Date: December 31, 2018

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key Features Understand the foundations of meta learning algorithms Explore practical examples to explore various one-shot learning...
Cover of Hands-On Deep Learning Architectures with Python

Hands-On Deep Learning Architectures with Python

Create deep neural networks to solve computational problems using TensorFlow and Keras

by Yuxi (Hayden) Liu, Saransh Mehta
Language: English
Release Date: April 30, 2019

Concepts, tools, and techniques to explore deep learning architectures and methodologies Key Features Explore advanced deep learning architectures using various datasets and frameworks Implement deep architectures for neural network models such as CNN, RNN, GAN, and many more Discover design...
Cover of Deep Learning with R for Beginners

Deep Learning with R for Beginners

Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

by Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu
Language: English
Release Date: May 20, 2019

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the fundamentals of deep learning and neural networks Use R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processing Implement...
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