Название: Zhang Time Discretization (ZTD) Formulas and Applications
Автор: Yunong Zhang, Jinjin Guo
Издательство: CRC Press
Год: 2025
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB

This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas. The authors summarize and present the systematic derivations and complete research of ZTD formulas from special 3S-ZTD formulas to general NS-ZTD formulas. These finally led to their proposed discrete-time Zhang neural network (DTZNN) algorithms, which are more efficient, accurate, and elegant. This book will open the door to scientific and engineering applications of ZTD formulas and neural networks, and will be a major inspiration for studies in neural network modeling, numerical algorithm design, prediction, and robot manipulator control. In recent decades, with the characteristics of distributed-storage and high-speed parallel processing, superior performance in large-scale online applications, and convenience of hardware implementations, neural networks have widely arisen in scientific computation and optimization, drawing extensive interest and investigation of researchers. Due to the in-depth research in neural networks, the approaches based on recurrent neural networks (RNNs) are now regarded as powerful alternatives, which can online solve various mathematical and engineering problems. Generally, these RNNs can be divided into two classes: the continuous-time RNNs and the discrete-time RNNs. As a special class of RNNs, originating and extending from the research of Hopfield neural network, zeroing neural network (also termed as Zhang neural network, ZNN) was proposed by Zhang et al. Zeroing neural network (ZNN) is a great alternative to solve time-dependent problems. It is a special class of recurrent neural networks (RNNs), which originates from Hopfield neural network. ZNN is developed to solve time-dependent problems and fully utilizes the information of time derivative and correlation of solutions of adjacent moments. ZNN has been used to solve various problems in science and engineering fields, such as manipulators, control, and time-dependent mathematical operations, ever since its development.

Название: Learning Django 5: Program web apps with complete Django capabilities, ORM, Template, MongoDB and Docker containerization
Автор: Clara Stein
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 596
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Learning Django 5" is intended to help Python programmers, aspiring full stack developers, and web developers build robust and scalable web applications quickly and efficiently. with a basic understanding of Python scripting. Hands-on labs and interactive tasks are used throughout the book to help you practice and apply the concepts as you learn. Beginning with a thorough introduction to Django 5, you'll learn how to install and configure Django on a Linux server, set up virtual environments, and create your first Django project, BookTech. The book walks you through the fundamentals of Django models and ORM, teaching you how to define models, perform database migrations, and interact with the ORM to optimize data querying. You will learn about Django views, including function-based and class-based views, URL mapping, and form handling. The templates section will show you how to create and inherit templates, use template tags and filters, and pass data to templates for dynamic rendering. Advanced topics are thoroughly covered, including user authentication, permission management, and extending the default user model. You'll also learn how to use essential features like site maps, RSS feeds, and SEO optimization to boost your app's visibility and user engagement. The book then goes over deployment and scaling, teaching you how to containerize your application with Docker, deploy to cloud platforms like AWS, and set up continuous integration and deployment pipelines in Jenkins. This book is intended for seasoned Python programmers, web developers looking to expand their skill set, and newcomers eager to dive into the world of web development.

Название: Ultimate PowerShell Automation for System Administration: Streamline Automation and Administration Tasks with Advanced PowerShell Techniques and Expert Insights
Автор: Prashanth Jayaram, Rajendra Gupta
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 789
Язык: английский
Формат: pdf, epub
Размер: 38.6 MB

Power Up Your Automation and Administration with PowerShell. Unlock the power of PowerShell with this comprehensive guide, designed as your ultimate companion, the book is structured into three parts, each focusing on different aspects of PowerShell. You'll start with the basics and then explore PowerShell Core's unique features. Next, you'll delve into building blocks, pipelines, and data control with arrays, loops, and hash tables. As you progress, you'll master PowerShell security and develop advanced functions to automate complex tasks. Further chapters will guide you through optimizing Windows administration, managing tasks and jobs, and exploring remoting features for efficient multi-system management. Finally, you'll leverage PowerShell for cloud operations and integrate it seamlessly with the Microsoft ecosystem. This book provides a progressive journey in PowerShell automation, equipping you with essential skills for various tasks, from Windows administration to cloud operations.

Название: Building Generative AI Services with FastAPI: A Practical Approach to Developing Context Rich Generative AI Applications (Second Early Release)
Автор: Ali Parandeh
Издательство: O’Reilly Media, Inc.
Год: 2024-05-20
Страниц: 350
Язык: английский
Формат: epub
Размер: 11.4 MB

Ready to build applications using Generative AI? This practical book outlines the process necessary to design and build production grade AI services with a FastAPI web server that communicate seamlessly with databases, payment systems, and external APIs. You'll learn how to develop autonomous generative AI agents that stream outputs in real-time and interact with other models. Web developers, data scientists, and DevOps engineers will learn to implement end-to-end production-ready services that leverage Generative AI. You'll learn design patterns to manage software complexity, implement FastAPI lifespan for AI model integration, handle long-running generative tasks, perform content filtering, cache outputs, implement retrieval augmented generation (RAG) with a vector database, implement usage/cost monitoring and tracking, protect services with your own authentication and authorization mechanisms, and effectively control stream outputs directly from GenAI models. You'll explore efficient testing methods for AI outputs, validation against databases, and deployment patterns using Docker for robust microservices in the cloud.

Название: Программирование для Android: Самоучитель
Автор: Денис Колисниченко
Издательство: БХВ-Петербург
Год: 2020
Cтраниц: 280
Формат: pdf
Размер: 12 мб
Язык: русский

Рассмотрены все основные аспекты создания приложений для платформы Android 9 (API 28): установка необходимого программного обеспечения, использование эмулятора Android, создание интерфейса пользователя, работа с графикой, воспроизведение звука и видео, методы хранения данных (в том числе СУБД SQLite), взаимодействие с аппаратными средствами мобильного устройства, отладка приложений и их публикация в магазине Google Play.

Название: C++ Programming For Beginners
Автор: Carlos Vereau
Издательство: Independently published
Год: 2024
Страниц: 979
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Embark on an exciting journey into the world of programming with "C++ Programming For Beginners". Whether you're a complete novice or transitioning from another language, this comprehensive guide is your passport to mastering one of the most powerful and versatile programming languages in existence. Designed with the absolute beginner in mind, this book starts from the ground up, introducing you to the fundamental concepts of programming and gradually building your skills through hands-on examples and practical exercises. With clear explanations and real-world applications, you'll quickly gain the confidence and proficiency needed to write your own C++ programs. Whether you aspire to become a software developer, game programmer, or simply want to expand your programming skills, "C++ Programming For Beginners" is your comprehensive guide to unlocking the full potential of this powerful programming language. Get ready to unleash your creativity and embark on an exciting journey into the world of C++ programming!

Название: Deep Learning at Scale: At the Intersection of Hardware, Software, and Data (Final Release)
Автор: Suneeta Mall
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 448
Язык: английский
Формат: True/Retail PDF, True EPUB (Retail Copy)
Размер: 35.6 MB

Bringing a Deep-Learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack Deep Learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack Deep Learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. Deep Learning and scaling are correlated. Deep Learning is capable of scaling your objectives from single task to multitask, from one modality to multimodality, from one class to thousands of classes. Anything is possible, provided you have scalable hardware and a large volume of data and write software that can efficiently scale to utilize all the resources available to you. This book aims to help you develop a deeper knowledge of the Deep Learning stack—specifically, how Deep Learning interfaces with hardware, software, and data. It assumes that the reader already has a fundamental knowledge of Deep Learning concepts such as optimizers, learning objectives and loss functions, and model assembly and compilation, as well as some experience with model development. Familiarity with Python and PyTorch is also essential for the practical sections of the book.

Название: Cobol & Fortran: The Legacy Systems Programming Guide 2024
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 544
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Are you ready to take your coding skills to the next level and navigate the intricacies of two powerful, yet often-overlooked, programming languages? Whether you're a seasoned professional or an enthusiastic learner, "COBOL & FORTRAN" is your ultimate resource for mastering the complex landscape of legacy systems. Dive deep into the world of COBOL and FORTRAN—languages that continue to drive critical operations across industries that value reliability and performance. This landmark guide is more than just a manual; it's an invitation to join an elite group of programmers who understand the enduring importance of these systems. As technology rapidly evolves, there’s a pressing need to maintain and modernize legacy systems built on COBOL and FORTRAN. Many of these systems are still in operation today, handling transactions worth billions of dollars, managing sensitive data, and maintaining crucial infrastructure. They are the unsung heroes of modern computing, often hidden behind sleek interfaces and sophisticated applications. This book is crafted to help you navigate the complexities and nuances of COBOL and FORTRAN, providing you with the knowledge and skills necessary to keep these systems operable. Whether you are an experienced programmer, a systems analyst, or a newcomer looking to understand these "ancient" languages, this comprehensive guide is your trusted companion. COBOL Programming: The Comprehensive Guide to FORTRAN Programming for 2024 is more than a technical reference; it’s a call to action to preserve, understand, and innovate upon the foundational technologies that form the bedrock of our digital world. By engaging with this book, you are partaking in a legacy of reliability, precision, and continuity. You are not just keeping systems operable—you are safeguarding the very infrastructure of technology as we know it. We invite you to turn the pages with curiosity, diligence, and an appreciation for the enduring legacy of COBOL and FORTRAN.

Название: Learning LangChain: Build an AI Chatbot Trained on Your Data (Early Release)
Автор: Mayo Oshin, Nuno Campos
Издательство: O’Reilly Media, Inc.
Год: 2024-06-18
Страниц: 127
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

If you're looking to build a production-ready AI application that enables users to "chat" with your company's private data, then you'll need to master LangChain—a premier AI development framework used by global corporations and startups like Zapier, Replit, Databricks, and more. This guide is an indispensable resource for developers who understand Python or jаvascript but are beginners eager to harness the power of AI. Authors Mayo Oshin and Nuno Campos demystify the use of LangChain through practical insights and in-depth tutorials. Starting with basic concepts, this book will show you step-by-step how to build a production-ready AI chatbot trained on your own data. Building LLM applications with or without LangChain requires the use of an LLM (read on for explanations for all these concepts). In this book we’ll be making use of the OpenAI API as the LLM provider we use in the code examples. One of the benefits of working with LangChain is you can follow all along all of these examples using either OpenAI or alternative commercial or open source LLM providers. We’ll call this out throughout the book.

Название: Artificial Intelligence for Everyone
Автор: Christian Posthoff
Издательство: Springer
Год: 2024
Страниц: 224
Язык: английский
Формат: pdf (true), epub
Размер: 28.4 MB

This book demystifies the topic of Artificial Intelligence (AI) for readers of varying backgrounds. The content should enable many people to discuss and follow ongoing developments in an informed way, to draw conclusions for their own life and workplace and to acquire the necessary new knowledge. The book strives to provide basic knowledge that will objectify the discussions and relieve some of the creepiness of utopian films. It must also be understood that research results are a necessary condition for progress; they are not sufficient until they can be translated into practice embedded in programs. This difficult relationship between theory and practice has been known for a long time. Artificial Intelligence (AI) is considered to be a key technology by industry and scientists. AI means the possibility of a computer to solve problems that, done by human beings, requires human abilities such as thinking, learning, planning, and being creative. Computers are able to observe their environment and have the ability to reach a certain target. They can analyze situations that already have been met and adapt their solutions more and more, until to a level that is higher than the level of human beings. The book offers a basic knowledge about AI. After a definition of intelligence, it starts with an extensive tour of the history of AI. It considers both the software and the hardware aspects. An overview of the combination of Computer Science and mathematics. The presentation is very understandable, especially for non-scientists; they are a sound foundation for further application. The book serves as a generally understandable source of information and is very much recommended.