- Table View
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Modeling and Analysis of Voice and Data in Cognitive Radio Networks
by Subodha Gunawardena Weihua ZhuangThis Springer Brief investigates the voice and elastic/interactive data service support over cognitive radio networks (CRNs), in terms of their delay requirements. The increased demand for wireless communication conflicts with the scarcity of the radio spectrum, but CRNS allow for more efficient use of the networks. The authors review packet level delay requirements of the voice service and session level delay requirements of the elastic/interactive data services, particularly constant-rate and on-off voice traffic capacities in CRNs with centralized and distributed network coordination. Some generic channel access schemes are considered as the coordination mechanism, and call admission control algorithms are developed for non-fully-connected CRNs. Other key topics include the advantages of supporting voice traffic flows with different delay requirements, the mean response time of the elastic data traffic over a centralized CRN, and effects of the traffic load at the base station and file length (service time requirement) distribution on the mean response time. The brief is designed for professionals and researchers working with wireless networks, cognitive radio, and communications. It is also a helpful reference for advanced-level students interested in efficient wireless communications.
Culturally Inclusive Instructional Design: A Framework and Guide to Building Online Wisdom Communities
by Charlotte Gunawardena Casey Frechette Ludmila LayneWINNER OF THE 2019 OUTSTANDING BOOK AWARD FROM AECT'S DIVISION OF DISTANCE EDUCATION! As online courses and digital learning enable more people from more places to learn together, it is crucial for instructional design to incorporate diverse cultural perspectives. Culturally Inclusive Instructional Design provides a framework for thinking about culture in digital learning, offering insight into how to build inclusive online communities that encourage reflection and growth, regardless of content domain. Chapters cover the foundation, components, and implementation of the authors’ Wisdom Communities (WisCom) framework, which enables learners from global backgrounds to experience long-lasting, transformative learning through real-world problem-solving. This book is a timely, resourceful guide to building truly collaborative, inquiry-based online learning experiences.
An Ethical Guide to Cyber Anonymity: Concepts, tools, and techniques to protect your anonymity from criminals, unethical hackers, and governments
by Kushantha GunawardanaDive into privacy, security, and online anonymity to safeguard your identityKey FeaturesLeverage anonymity to completely disappear from the public viewBe a ghost on the web, use the web without leaving a trace, and master the art of invisibilityBecome proactive to safeguard your privacy while using the webBook DescriptionAs the world becomes more connected through the web, new data collection innovations have opened up more ways to compromise privacy. Your actions on the web are being tracked, information is being stored, and your identity could be stolen. However, there are ways to use the web without risking your privacy. This book will take you on a journey to become invisible and anonymous while using the web.You will start the book by understanding what anonymity is and why it is important. After understanding the objective of cyber anonymity, you will learn to maintain anonymity and perform tasks without disclosing your information. Then, you'll learn how to configure tools and understand the architectural components of cybereconomy. Finally, you will learn to be safe during intentional and unintentional internet access by taking relevant precautions.By the end of this book, you will be able to work with the internet and internet-connected devices safely by maintaining cyber anonymity.What you will learnUnderstand privacy concerns in cyberspaceDiscover how attackers compromise privacyLearn methods used by attackers to trace individuals and companiesGrasp the benefits of being anonymous over the webDiscover ways to maintain cyber anonymityLearn artifacts that attackers and competitors are interested inWho this book is forThis book is targeted at journalists, security researchers, ethical hackers, and anyone who wishes to stay anonymous while using the web. This book is also for parents who wish to keep their kid's identities anonymous on the web.
Fundamentals of Reliability Engineering: Applications in Multistage Interconnection Networks
by Indra GunawanThis book presents fundamentals of reliability engineering with its applications in evaluating reliability of multistage interconnection networks. In the first part of the book, it introduces the concept of reliability engineering, elements of probability theory, probability distributions, availability and data analysis. The second part of the book provides an overview of parallel/distributed computing, network design considerations, and more. The book covers a comprehensive reliability engineering methods and its practical aspects in the interconnection network systems. Students, engineers, researchers, managers will find this book as a valuable reference source.
CORS Essentials
by Rajesh Gunasundaram Randall GoyaWeb developers have been limited by the Same Origin Policy and often wish they could spread their application across different domains. You know JavaScript and AJAX, and have run up against the Same Domain Policy, which is limiting your applications.
ASP.NET Web API Security Essentials
by Rajesh GunasundaramThis book is intended for anyone who has previous knowledge of developing ASP.NET Web API applications. Good working knowledge and experience with C# and.NET Framework are prerequisites for this book.
Learning Angular for .NET Developers
by Rajesh GunasundaramBuild efficient web apps and deliver great results by integrating Angular and the .NET framework About This Book • Become a more productive developer and learn to use frameworks that implement good development practices • Achieve advanced autocompletion, navigation, and refactoring in Angular using Typescript • Follow a gradual introduction to the concepts with a lot of examples and explore the evolution of a production-ready application Who This Book Is For If you are a .NET developer who now wants to efficiently build single-page applications using the new features that Angular 4 has to offer, then this book is for you. Familiarity of HTML, CSS, and JavaScript is assumed to get the most from this book. What You Will Learn • Create a standalone Angular application to prototype user interfaces • Validate complex forms with Angular version 4 and use Bootstrap to style them • Build RESTful web services that work well with single-page applications • Use Gulp and Bower in Visual Studio to run tasks and manage JavaScript packages • Implement automatic validation for web service requests to reduce your boilerplate code • Use web services with Angular version 4 to offload and secure your application logic • Test your Angular version 4 and web service code to improve the quality of your software deliverables In Detail Are you are looking for a better, more efficient, and more powerful way of building front-end web applications? Well, look no further, you have come to the right place! This book comprehensively integrates Angular version 4 into your tool belt, then runs you through all the new options you now have on hand for your web apps without bogging you down. The frameworks, tools, and libraries mentioned here will make your work productive and minimize the friction usually associated with building server-side web applications. Starting off with building blocks of Angular version 4, we gradually move into integrating TypeScript and ES6. You will get confident in building single page applications and using Angular for prototyping components. You will then move on to building web services and full-stack web application using ASP.NET WebAPI. Finally, you will learn the development process focused on rapid delivery and testability for all application layers. Style and approach This book covers everything there is to know about getting well-acquainted with Angular 4 and .NET without bogging you down. Everything is neatly laid out under clear headings for quick consultation, offering you the information required to understand a concept immediately, with short, relevant examples of each feature.
Language Server Protocol and Implementation: Supporting Language-Smart Editing and Programming Tools
by Nadeeshaan Gunasinghe Nipuna MarcusUnderstand the important aspects of implementing a production-grade language server in support of language-smart tools such as code editors and other programming utilities. This book shows you how to create a single implementation of a language server that can be used by multiple tools, enabling you to do the job once in a way that can be shared and reused. This book covers the language server protocol used for communication between programming tools and your language server. The book also provides an in-depth understanding of the design, implementation, and user experience aspects which should be considered when implementing a language server. The book walks you through an example language server implementation to illustrate the basic concepts, then goes on to cover advanced aspects of language server use such as progress reporting, launchers, and extension points. User experience is an important aspect of language server implementation and different tooling vendors strive to provide their own unique user experiences. This book explains how the protocol features can be leveraged to address the unique developer experience provided by different tooling vendors. The book also shows how to enhance the smoothness of the editing experience by orchestrating multiple features together.What You Will LearnImplement a language server from scratchUnderstand language server protocol and its data modelsLeverage the protocol while preserving the unique user experience of different editorsExtend the protocol to support more than its standard capabilitiesRun a language server on top of launchers such as standard I/O and TCP socketSeamlessly incorporate language semantics into your protocol featuresWho This Book Is ForDevelopers focused on and passionate about implementing language development tools such as plug-ins and extensions for interactive development environments (IDEs) or other tools that rely upon parsing of language statements and commands, and developers who need an in-depth understanding of the language server protocol as well as how to use the language server protocol to develop extensible language services
Android Apps Security: Mitigate Hacking Attacks and Security Breaches (Apressus Ser.)
by Sheran GunasekeraGain the information you need to design secure, useful, high-performing apps that expose end-users to as little risk as possible. This book shows you how to best design and develop Android apps with security in mind: explore concepts that you can use to secure apps and how you can use and incorporate these security features into your apps.What You Will LearnIdentify data that should be securedUse the Android APIs to ensure confidentiality and integrity of dataBuild secure apps for the enterpriseImplement Public Key Infrastructure and encryption APIs in appsMaster owners, access control lists, and permissions to allow user control over app propertiesManage authentication, transport layer encryption, and server-side securityWho This Book Is ForExperienced Android app developers.
Hadoop MapReduce Cookbook
by Thilina Gunarathne Srinath PereraIndividual self-contained code recipes. Solve specific problems using individual recipes, or work through the book to develop your capabilities. If you are a big data enthusiast and striving to use Hadoop to solve your problems, this book is for you. Aimed at Java programmers with some knowledge of Hadoop MapReduce, this is also a comprehensive reference for developers and system admins who want to get up to speed using Hadoop.
Hadoop MapReduce v2 Cookbook - Second Edition
by Thilina GunarathneIf you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.
Simulation for Industry 4.0: Past, Present, and Future (Springer Series in Advanced Manufacturing)
by Murat M. GunalThe book shows how simulation’s long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.0. The book emphasises the role of simulation in the new industrial revolution, and its application as a key aspect of making Industry 4.0 a reality – and thus achieving the complete digitisation of manufacturing and business. It presents various perspectives on simulation and demonstrates its applications, from augmented or virtual reality to process engineering, and from quantum computing to intelligent management. Simulation for Industry 4.0 is a guide and milestone for the simulation community, as well as those readers working to achieve the goals of Industry 4.0. The connections between simulation and Industry 4.0 drawn here will be of interest not only to beginners, but also to practitioners and researchers as a point of departure in the subject, and as a guide for new lines of study.
Engineering Safe and Secure Cyber-Physical Systems
by Roman GumzejThis book introduces the concept of holistic designand development of cyber physical systems to achieve their safe and secureoperation. It shows that by following the standards for embedded system'ssafety and using appropriate hardware and software components inherently safesystem's architectures can be devised and certified. While the standardsalready enable testing and certification of inherently safe and sound hardware,this is still not the case with software. The book demonstrates that SpecificationPEARL(SPEARL) addresses this issue and proposes appropriate solutions from theviewpoints of software engineering as well as concrete program components. Bydoing so it reduces the complexity of cyber physical systems design in aninnovative way. Three ultimate goals are being followed in thecourse of defining this new PEARL standard, namely: 1. simplicity over complexity, 2. inherent real-time ability, and 3. conformity to safety integrity and securitycapability levels.
ASP.NET Core 2 Fundamentals: Build cross-platform apps and dynamic web services with this server-side web application framework
by Onur Gumus Mugilan T. S. RagupathiImagine the boost in business if you can build large, rich web applications with little code and built-in Windows authentication. With this book, you can gain skills to develop real-world applications with ASP.NET Core 2.Key FeaturesAdopts the application-centric approach to explain core concepts Covers industry-best practices to build flexible, robust applicationsShows how to enhance your applications by adding more functionalitiesBook DescriptionThe book sets the stage with an introduction to web applications and helps you build an understanding of the tried-and-true MVC architecture. You learn all about views, from what is the Razor view engine to tagging helpers. You gain insight into what models are, how to bind them, and how to migrate database using the correct model. As you get comfortable with the world of ASP.NET, you learn about validation and routing. You also learn the advanced concepts, such as designing Rest Buy (a RESTful shopping cart application), creating entities for it, and creating EF context and migrations. By the time you are done reading the book, you will be able to optimally use ASP.NET to develop, unit test, and deploy applications like a pro.What you will learnWork with basic programming constructs using the Razor view engineUse flexibility and data compartmentalization of ViewModelBuild a custom route for ASP.NET MVC applications for SEOOptimize applications with performance analysis and improvement stepsImprove application performance, security, and data access to optimize the overall development processDeploy an ASP.NET MVC application in a non-Windows environmentWho this book is forIf you are looking to build web applications using ASP.NET Core or you want to become a pro in building web applications using the Microsoft technology, this is the ideal book for you. Prior exposure and understanding of C#, JavaScript, HTML, and CSS syntax is assumed.
GIMP Bible
by Jason Van Gumster Robert ShimonskiThe ultimate reference and guide to the GNU image manipulation program GIMP is a free, Photoshop-like image manipulation program, and as its use grows, so does the demand for detailed instruction on how to get the very most out of it. GIMP Bible is the most comprehensive and current independent GIMP reference available that goes beyond official documentation. If you're a digital artist or photographer, the step-by-step explanations in this authoritative guide show you how to power-use GIMP throughout a production pipeline. Topics include understanding the GIMP interface and how to work with it, how to use all of GIMP's tools to create high-quality images, GIMP's default filters and plug-ins, advanced techniques for customization with Python and Scheme scripting, and much more. GIMP (GNU Image Manipulation Program) is a free graphics editor that runs on Linux, Windows, or Macs; it is used to process digital graphics and photographs including creating graphics and logos, resizing and cropping photos, altering colors, combining images, creating basic GIF animated images, and more Whether you're a digital artist, professional photographer, or beginner, this detailed how-to shows you best practices, valuable techniques, and helpful tips for getting the most out of GIMP for your projects Topics include the GIMP interface and how to work with it, in-depth description of GIMP's tools and how to use them to create high-quality images, a comprehensive reference for all of GIMP's default filters and common plug-ins, and advanced customization with Python and Scheme scripting Get the most out of this free image editing tool for your production pipeline with the GIMP Bible. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Blender For Dummies
by Jason Van GumsterSo you've heard about Blender, the free 3D animation software. You really want to know more about the features of Blender, where to get it, and how to use it. You're in luck! It's all in Blender For Dummies, including Blender software on the bonus DVD. Because there's a lot to learn about Blender, you'll be glad this book takes it step by step. First, you'll learn to install Blender 2. 48 and think the Blender way. Then you'll start creating 3D objects and setting them in motion with animations and rigging. Soon you'll be texturing with Blender, rendering with Blender, and sharing your creations. You'll learn how to: Create almost anything with meshes, save time with the Mirror modifier, and use Blender's secret weapon, Dupliverts Understand texture mapping, know when to use which type of lamp, and use radiosity in animation Work with curves and surfaces, and add color, shades, texture, and reflections Rig your characters for animation with shape keys, hooks, and armatures, and understand kinematics Navigate in three dimensions Make your animations more believable, and let Blender do the animating for you Use the video sequence editor Export, render, composite, and edit for output You'll even get tips on common problems new Blender users face and how to avoid them. Blender For Dummies will have you creating eye-popping 3D animations before you know it! Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Custom Components in Architecture: Strategies for Customizing Repetitive Manufacturing
by Dana GullingThis book offers architects strategies in the design and manufacturing of custom, repetitively manufactured building components.A total of 36 case studies from around the globe demonstrate the diversity of CRM in architecture and are contributed by architecture firms, including Diller Scofidio + Renfro, Kengo Kuma & Associates, Abin Design Studio, Behnisch Architekten, Belzberg Architects, and many more. The book is organized by manufacturing process and covers the use of various types of glass, clay, plastic, metal, wood, plaster, and concrete. Each process is described with diagrams and text and expanded with one or more examples of customized building components. Projects included are of buildings of various types, sizes, and clients, and many deviate from the typical manufacturing process as they include a secondary process (e.g. casting glass, then slumping it), special tooling modifications (e.g. dams used to subdivide a mold), post-production processes, or other notable manufacturing features. Each case study includes a project overview, behind‐the‐scenes images of the component manufacturing, and original diagrams that illustrate how those components were customized.Custom Components in Architecture will be essential reading for any architect interested in building design details and keeping up-to-speed on material advances. Upper-level students of digital architecture, fabrication, and building technology will also find this a useful tool.
Google Anthos in Action: Manage hybrid and multi-cloud Kubernetes clusters
by Antonio Gulli et al.Learn multicloud deployment on Anthos directly from the Google development team! Anthos delivers a consistent management platform for deploying and operating Linux and Windows applications anywhere—multi-cloud, edge, on-prem, bare metal, or VMware.Summary In Google Anthos in Action you will learn: How Anthos reduces your dependencies and stack-bloat Running applications across multiple clouds and platforms Handling different workloads and data Adding automation to speed up code delivery Modernizing infrastructure with microservices and Service Mesh Policy management for enterprises Security and observability at scale Google Anthos in Action demystifies Anthos with practical examples of Anthos at work and invaluable insights from the Google team that built it. You&’ll learn how to use this modern, Kubernetes-based cloud platform to balance costs, automate security, and run your software literally anywhere. The book is full of Google-tested patterns that will boost efficiency across the development lifecycle. It&’s an absolutely essential guide for anyone working with Anthos, or delivering software in a cloud-centric world. About the technology The operations nightmare: modern applications run on-prem, in the cloud, at the edge, on bare metal, in containers, over VMs, in any combination. And you&’re expected to handle the rollouts, dataOps, security, performance, scaling, backup, and whatever else comes your way. Google Anthos feels your pain. This Kubernetes-based system simplifies hybrid and multicloud operations, providing a single platform for deploying and managing your applications, wherever they live. About the book Google Anthos in Action introduces Anthos and shows you how it can simplify operations for hybrid cloud systems. Written by 17 Googlers, it lays out everything you can do with Anthos, from Kubernetes deployments to AI models and edge computing. Each fully illustrated chapter opens up a different Anthos feature, with exercises and examples so you can see Anthos in action. You&’ll appreciate the valuable mix of perspectives and insight this awesome team of authors delivers. What's inside Reduce dependencies and stack-bloat Run applications across multiple clouds and platforms Speed up code delivery with automation Policy management for enterprises Security and observability at scale About the reader For software and cloud engineers with experience using Kubernetes. About the author Google Anthos in Action is written by a team of 17 Googlers involved with Anthos development, and Google Cloud Certified Fellows assisting customers in the field. Table of Contents 1 Overview of Anthos 2 One single pane of glass 3 Computing environment built on Kubernetes 4 Anthos Service Mesh: Security and observability at scale 5 Operations management 6 Bringing it all together 7 Hybrid applications 8 Working at the edge and the telco world 9 Serverless compute engine (Knative) 10 Networking environment 11 Config Management architecture 12 Integrations with CI/CD 13 Security and policies 14 Marketplace 15 Migrate 16 Breaking the monolith 17 Compute environment running on bare metal
Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition
by Antonio Gulli Denis RothmanUnder the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLPKey FeaturesImplement models, such as BERT, Reformer, and T5, that outperform classical language modelsCompare NLP applications using GPT-3, GPT-2, and other transformersAnalyze advanced use cases, including polysemy, cross-lingual learning, and computer visionBook DescriptionTransformers are a game-changer for natural language understanding (NLU) and have become one of the pillars of artificial intelligence. Transformers for Natural Language Processing, 2nd Edition, investigates deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question-answering, and many more NLP domains with transformers. An Industry 4.0 AI specialist needs to be adaptable; knowing just one NLP platform is not enough anymore. Different platforms have different benefits depending on the application, whether it's cost, flexibility, ease of implementation, results, or performance. In this book, we analyze numerous use cases with Hugging Face, Google Trax, OpenAI, and AllenNLP. This book takes transformers' capabilities further by combining multiple NLP techniques, such as sentiment analysis, named entity recognition, and semantic role labeling, to analyze complex use cases, such as dissecting fake news on Twitter. Also, see how transformers can create code using just a brief description. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models to various datasets.What you will learnDiscover new ways of performing NLP techniques with the latest pretrained transformersGrasp the workings of the original Transformer, GPT-3, BERT, T5, DeBERTa, and ReformerFind out how ViT and CLIP label images (including blurry ones!) and reconstruct images using DALL-ECarry out sentiment analysis, text summarization, casual language analysis, machine translations, and more using TensorFlow, PyTorch, and GPT-3Measure the productivity of key transformers to define their scope, potential, and limits in productionWho this book is forIf you want to learn about and apply transformers to your natural language (and image) data, this book is for you.A good understanding of NLP, Python, and deep learning is required to benefit most from this book. Many platforms covered in this book provide interactive user interfaces, which allow readers with a general interest in NLP and AI to follow several chapters of this book.
Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
by Antonio Gulli Sujit Pal Amita KapoorBuild machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key Features Introduces and then uses TensorFlow 2 and Keras right from the start Teaches key machine and deep learning techniques Understand the fundamentals of deep learning and machine learning through clear explanations and extensive code samples Book Description Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before. This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML. What you will learn Build machine learning and deep learning systems with TensorFlow 2 and the Keras API Use Regression analysis, the most popular approach to machine learning Understand ConvNets (convolutional neural networks) and how they are essential for deep learning systems such as image classifiers Use GANs (generative adversarial networks) to create new data that fits with existing patterns Discover RNNs (recurrent neural networks) that can process sequences of input intelligently, using one part of a sequence to correctly interpret another Apply deep learning to natural human language and interpret natural language texts to produce an appropriate response Train your models on the cloud and put TF to work in real environments Explore how Google tools can automate simple ML workflows without the need for complex modeling Who this book is for This book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. Whether or not you have done machine learning before, this book gives you the theory and practice required to use Keras, TensorFlow 2, and AutoML to build machine learning systems.
TensorFlow 1.x Deep Learning Cookbook
by Antonio Gulli Amita KapoorTake the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book • Skill up and implement tricky neural networks using Google's TensorFlow 1.x • An easy-to-follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer perceptrons and more. • Hands-on recipes to work with Tensorflow on desktop, mobile, and cloud environment Who This Book Is For This book is intended for data analysts, data scientists, machine learning practitioners and deep learning enthusiasts who want to perform deep learning tasks on a regular basis and are looking for a handy guide they can refer to. People who are slightly familiar with neural networks, and now want to gain expertise in working with different types of neural networks and datasets, will find this book quite useful. What You Will Learn • Install TensorFlow and use it for CPU and GPU operations • Implement DNNs and apply them to solve different AI-driven problems. • Leverage different data sets such as MNIST, CIFAR-10, and Youtube8m with TensorFlow and learn how to access and use them in your code. • Use TensorBoard to understand neural network architectures, optimize the learning process, and peek inside the neural network black box. • Use different regression techniques for prediction and classification problems • Build single and multilayer perceptrons in TensorFlow • Implement CNN and RNN in TensorFlow, and use it to solve real-world use cases. • Learn how restricted Boltzmann Machines can be used to recommend movies. • Understand the implementation of Autoencoders and deep belief networks, and use them for emotion detection. • Master the different reinforcement learning methods to implement game playing agents. • GANs and their implementation using TensorFlow. In Detail Deep neural networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing. The entire world is filled with excitement about how deep networks are revolutionizing artificial intelligence. This exciting recipe-based guide will take you from the realm of DNN theory to implementing them practically to solve the real-life problems in artificial intelligence domain. In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning. You will implement different deep learning networks such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Q-learning Networks (DQNs), and Generative Adversarial Networks (GANs) with easy to follow independent recipes. You will learn how to make Keras as backend with TensorFlow. With a problem-solution approach, you will understand how to implement different deep neural architectures to carry out complex tasks at work. You will learn the performance of different DNNs on some popularly used data sets such as MNIST, CIFAR-10, Youtube8m, and more. You will not only learn about the different mobile and embedded platforms supported by TensorFlow but also how to set up cloud platforms for deep learning applications. Get a sneak peek of TPU architecture and how they will affect DNN future. By using crisp, no-nonsense recipes, you will become an expert in implementing deep learning techniques in growing real-world applications and research areas such as reinforcement learning, GANs, autoencoders and more. Style and approach This book consists of hands-on recipes where you'll deal with real-world problems. You'll execute a series of tasks as you walk through data mining challenges using TensorFlow 1.x. Your one-stop solution for common and not-so-common pain points, this is a book that you must have on the shelf.
Deep Learning with Keras
by Antonio GulliKeras is a high-level neural network library written in Python, and runs on top of either Theano or TensorFlow. It is a minimal, highly modular framework that runs on both CPU and GPU, and allows you to put your ideas into action in the shortest possible time. This book will help you get started with the basics of Keras, in a highly practical manner.
TensorFlow 1.x Deep Learning Cookbook
by Antonio GulliIn this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning. You will implement different deep learning networks such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Q-learning Networks (DQNs), and Generative Adversarial Networks (GANs) with easy to follow independent recipes.
Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis
by Mohammed GullerThis book is a step-by-step guide for learning how to use Spark for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, MLlib, and Spark ML. Big Data Analytics with Spark shows you how to use Spark and leverage its easy-to-use features to increase your productivity. You learn to perform fast data analysis using its in-memory caching and advanced execution engine, employ in-memory computing capabilities for building high-performance machine learning and low-latency interactive analytics applications, and much more. Moreover, the book shows you how to use Spark as a single integrated platform for a variety of data processing tasks, including ETL pipelines, BI, live data stream processing, graph analytics, and machine learning. The book also includes a chapter on Scala, the hottest functional programming language, and the language that underlies Spark. You'll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, such as HDFS, Avro, Parquet, Kafka, Cassandra, HBase, Mesos, and so on. It also provides an introduction to machine learning and graph concepts. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to have is some programming knowledge in any language. What you'll learn Write Spark applications in Scala for processing and analyzing large-scale data Interactively analyze large-scale data with Spark SQL using just SQL and HiveQL Process high-velocity stream data with Spark Streaming Develop machine learning applications with MLlib and Spark ML Analyze graph-oriented data and implement graph algorithms with GraphX Deploy Spark with the Standalone cluster manger, YARN, or Mesos Monitor Spark applications Who this book is for Big Data Analytics with Spark is for data scientists, business analysts, data architects, and data analysts looking for a better and faster tool for large-scale data analysis. It is also for software engineers and developers building Big Data products. Table of Contents 1. Big Data Technology Landscape 2. Programming in Scala 3. Spark Core 4. Interactive Data Analysis with Spark Shell 5. Writing a Spark Application 6. Spark Streaming 7. Spark SQL 8. Machine Learning with Spark 9. Graph Processing with Spark 10. Cluster Managers 11. Monitoring
Reliability Engineering and Computational Intelligence for Complex Systems: Design, Analysis and Evaluation (Studies in Systems, Decision and Control #496)
by Coen Van Gulijk Elena Zaitseva Miroslav KvassayThis book offers insight into the current issues of the merger between reliability engineering and computational intelligence. The intense development of information technology allows for designing more complex systems as well as creating more detailed models of real-world systems which forces traditional reliability engineering approaches based on Boolean algebra, probability theory, and statistics to embrace the world of data science. The works deal with methodological developments as well as applications in the development of safe and reliable systems in various kinds of distribution networks, in the development of highly reliable healthcare systems, in finding weaknesses in systems with the human factor, or in reliability analysis of large information systems and other software solutions. In this book, experts from various fields of reliability engineering and computational intelligence present their view on the risks, the opportunities and the synergy between reliability engineering and computational intelligence that have been developed separately but in recent years have found a way to each other. The topics addressed include the latest advances in computing technology to improve the real lives of millions of people by increasing safety and reliability of various types of real-life systems by increasing the availability of software services, reducing the accident rate of means of transport, developing high reliable patient-specific health care, or generally, save cost and increase efficiency in the work and living environment. Though this book, the reader has access to professionals and researchers in the fields of reliability engineering and computational intelligence that share their experience in merging the two as well as an insight into the latest methods, concerns and application domains.