Author : Steve Steinke
Publisher : CRC Press
Page : 673 pages
File Size : 24,57 MB
Release : 2003-01-01
Category : Technology & Engineering
ISBN : 1578203023
Network Tutorial delivers insight and understanding about network technology to managers and executives trying to get up to speed or stay current with the complex challenges of designing, constructing, maintaining, upgrading, and managing the netwo
Author : Steve Steinke
Publisher : CRC Press
Page : 671 pages
File Size : 32,38 MB
Release : 2003-01-01
Category : Computers
ISBN : 1482280876
Network Tutorial delivers insight and understanding about network technology to managers and executives trying to get up to speed or stay current with the complex challenges of designing, constructing, maintaining, upgrading, and managing the netwo
Author : Filippo Menczer
Publisher : Cambridge University Press
Page : 275 pages
File Size : 14,34 MB
Release : 2020-01-30
Category : Science
ISBN : 1108579612
Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.
Author : Herong Yang
Publisher : HerongYang.com
Page : 305 pages
File Size : 20,47 MB
Release : 2021-03-06
Category : Computers
ISBN :
This book is a collection of notes and sample codes written by the author while he was learning Neural Networks in Machine Learning. Topics include Neural Networks (NN) concepts: nodes, layers, activation functions, learning rates, training sets, etc.; deep playground for classical neural networks; building neural networks with Python; walking through Tariq Rashi's 'Make Your Own Neural Network' source code; using 'TensorFlow' and 'PyTorch' machine learning platforms; understanding CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), GNN (Graph Neural Network). Updated in 2023 (Version v1.22) with minor updates. For latest updates and free sample chapters, visit https://www.herongyang.com/Neural-Network.
Author : Todd Lammle
Publisher : John Wiley & Sons
Page : 1008 pages
File Size : 12,65 MB
Release : 2018-05-08
Category : Computers
ISBN : 1119432278
To complement the CompTIA Network+ Study Guide: Exam N10-007, 4e, and the CompTIA Network+ Deluxe Study Guide: Exam N10-007, 4e, look at CompTIA Network+ Practice Tests: Exam N10-007 (9781119432128). Todd Lammle's bestselling CompTIA Network+ Deluxe Study Guide for the N10-007 exam! CompTIA's Network+ certification tells the world you have the skills to install, configure, and troubleshoot today's basic networking hardware peripherals and protocols. First, however, you have to pass the exam! CompTIA Network+ Deluxe Study Guide, Fourth Edition by networking guru Todd Lammle has everything you need to prepare for the CompTIA Network+ Exam N10-007. Inside, Todd covers all exam objectives, explains key topics, offers plenty of practical examples, and draws upon his own invaluable 30 years of networking experience to help you learn. Prepares you for Exam N10-007, the newest CompTIA Network+ Exam Covers all exam objectives including network technologies, network installation and configuration, network media and topologies, security, and more Includes practical examples review questions, as well as access to practice exams and flashcards to reinforce learning Offers invaluable insights and tips drawn from real-world experience You will have a year of FREE access to a robust set of online interactive learning tools through the Sybex onlne test bank, including hundreds of sample questions, a pre-assessment test, bonus practice exams, and over 300 electronic flashcards. Prepare for the exam and enhance your career with the authorized CompTIA Network+ Deluxe Study Guide, Fourth Edition.
Author : Mason Porter
Publisher : Springer
Page : 91 pages
File Size : 14,92 MB
Release : 2016-03-31
Category : Mathematics
ISBN : 3319266411
This volume is a tutorial for the study of dynamical systems on networks. It discusses both methodology and models, including spreading models for social and biological contagions. The authors focus especially on “simple” situations that are analytically tractable, because they are insightful and provide useful springboards for the study of more complicated scenarios. This tutorial, which also includes key pointers to the literature, should be helpful for junior and senior undergraduate students, graduate students, and researchers from mathematics, physics, and engineering who seek to study dynamical systems on networks but who may not have prior experience with graph theory or networks. Mason A. Porter is Professor of Nonlinear and Complex Systems at the Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, UK. He is also a member of the CABDyN Complexity Centre and a Tutorial Fellow of Somerville College. James P. Gleeson is Professor of Industrial and Applied Mathematics, and co-Director of MACSI, at the University of Limerick, Ireland.
Author : Vivienne Sze
Publisher : Springer Nature
Page : 254 pages
File Size : 22,42 MB
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 3031017668
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.
Author : Alex Fornito
Publisher : Academic Press
Page : 496 pages
File Size : 15,38 MB
Release : 2016-03-04
Category : Medical
ISBN : 0124081185
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
Author : Herong Yang
Publisher : HerongYang.com
Page : 324 pages
File Size : 39,27 MB
Release : 2009-01-01
Category : Computers
ISBN :
This book is a collection of notes and sample codes written by the author while he was learning Linux systems. Topics include using Cockpit Web portal for admin tasks; managing users and groups; managing files and directories; managing NTFS, CIFS, EXT4, LBA, LVM file systems; using network tools and security firewall; installing CentOS systems; using SELinux (Security-Enhanced Linux) system; DNF/YUM software package manager; SSH Server configuration and client tools; managing vsftpd - Very Secure FTP daemon; managing directory service with OpenLDAP; Updated in 2024 (Version v5.44) with email topics moved to 'Email Tutorials' book. For latest updates and free sample chapters, visit https://www.herongyang.com/Linux.
Author :
Publisher :
Page : 52 pages
File Size : 25,85 MB
Release : 1987-12-07
Category :
ISBN :
For more than 20 years, Network World has been the premier provider of information, intelligence and insight for network and IT executives responsible for the digital nervous systems of large organizations. Readers are responsible for designing, implementing and managing the voice, data and video systems their companies use to support everything from business critical applications to employee collaboration and electronic commerce.
