Название: Classification Applications with Deep Learning and Machine Learning Technologies
Автор: Laith Abualigah
Издательство: Springer
Год: 2023
Страниц: 287
Язык: английский
Формат: pdf (true)
Размер: 13.6 MB

This book is very beneficial for early researchers/faculty who want to work in Deep Learning and Machine Learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies’ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.

Название: Introduction to Infrastructure as Code: A Brief Guide to the Future of DevOps
Автор: Sneh Pandya, Riya Guha Thakurta
Издательство: Apress
Год: 2022
Страниц: 196
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Get inspired to explore the depths of the DevOps field. In today’s rapidly transforming world, Infrastructure as Code (IaC) has emerged as an effective approach to maintain, scale, and deploy software systems. This book offers a mixture of foundational IaC concepts and practical examples to give you hands-on experience. You will first gain an understanding of DevOps culture as well as how to adapt to IaC. Introduction to Infrastructure as Code begins by reviewing the innovative features that DevOps in general, and IaC in particular, have to offer for adoption and growth for different verticals. With this solid base established, you will then learn the importance, processes, and outcome of building infrastructure solutions.

Название: Solving Identity Management in Modern Applications: Demystifying OAuth 2, OpenID Connect, and SAML 2, Second Edition
Автор: Yvonne Wilson, Abhishek Hingnikar
Издательство: Apress
Год: 2023
Страниц: 398
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Know how to design and use identity management to protect your application and the data it manages. At a time when security breaches result in increasingly onerous penalties, it is paramount that application developers and owners understand identity management and the value it provides when building applications. This book takes you from account provisioning to authentication to authorization, and covers troubleshooting and common problems to avoid. The authors include predictions about why this will be even more important in the future. Application best practices with coding samples are provided.

Название: Mastering Game Design with Unity 2021: Immersive Workflows, Visual Scripting, Physics Engine, GameObjects, Player Progression, Publishing, and a Lot More
Автор: Scott Tykoski
Издательство: BPB Publications
Год: 2023
Страниц: 394
Язык: английский
Формат: epub (true)
Размер: 18.99 MB

Learn and Leverage the Power of Unity to Create Amazing Video Games! The Unity Engine has been steadily evolving over the past few years into one of the most powerful resources for the game development community. Its feature-rich toolkit and user-friendliness make it an ideal foundation for budding game developers. The book ‘Mastering Game Design with Unity 2021’ will walk you through creating a multimedia game from scratch, covering everything from the basics of game development to advanced design concepts. The book will help you to learn the ins and outs of scenes, game objects, input systems, physics, particles, and post-processing effects, and even get access to instructions to put your newfound skills to use. In addition, this book will help you to learn the fundamentals of game logic design, interactive narratives, game mechanics, storyboarding, and design structure in an easy-to-understand format from a coaching game expert.

Название: Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, 2nd Edition (5th Early Release)
Автор: David Foster
Издательство: O’Reilly Media, Inc.
Год: 2022-11-16
Страниц: 286
Язык: английский
Формат: epub
Размер: 42.6 MB

Generative modeling is one of the hottest topics in AI. It is now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, Machine Learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative Deep Learning models such as variational autoencoders, generative adversarial networks (GANs), Transformers, normalizing flows, and diffusion models. A generative model can be broadly defined as follows: Generative modeling is a branch of Machine Learning (ML) that deals with the creation of models that can generate new data points that are similar to the training data. We use the Keras function image_dataset_from_directory to create a Tensorflow Dataset pointed at the directly where the images are stored.

Название: Modern Full-Stack Development: Using TypeScript, React, Node.js, Webpack, Python, Django, and Docker, 2nd Edition
Автор: Frank Zammetti
Издательство: Apress
Год: 2022
Страниц: 425
Язык: английский
Формат: epub (true), mobi
Размер: 32.0 MB

Explore what React, Node, Python, Django, TypeScript, Webpack, and Docker have to offer individually, and how they all fit together in modern app development. This updated version will show you how to build apps with React, Node.js or Django, and TypeScript, and how Webpack can be used to optimize and organize your code for deployment. You'll see why React is one of the most popular web development tools available today, and why Node.js is also frequently used for server-side development. The fact that both utilize jаvascript is a big selling point, but there are shortcomings. Modern Full-Stack Development highlights how adding Django, Webpack, and Docker to the mix resolves any issues by creating a potent full development stack on which to build applications – two possible stacks, really!!

Название: Грокаем алгоритмы. Иллюстрированное пособие для программистов и любопытствующих
Автор: Адитья Бхаргава
Издательство: Питер
Год: 2022
Страниц: 288
Язык: русский
Формат: pdf, epub
Размер: 23.0 MB

Алгоритмы — это всего лишь пошаговые инструкции решения задач, и большинство таких задач уже были кем-то решены, протестированы и проверены. Можно, конечно, погрузиться в глубокую философию гениального Кнута, изучить многостраничные фолианты с доказательствами и обоснованиями, но хотите ли вы тратить на это свое время? Откройте великолепно иллюстрированную книгу и вы сразу поймете, что алгоритмы — это просто. А грокать алгоритмы — веселое и увлекательное занятие. Я прежде всего стремился к тому, чтобы книга легко читалась. Я избегаю неожиданных поворотов; каждый раз, когда в книге упоминается новая концепция, я либо объясняю ее сразу, либо говорю, где буду объяснять. Основные концепции подкрепляются упражнениями и повторными объяснениями, чтобы вы могли проверить свои предположения и убедиться в том, что не потеряли нить изложения. В книге приводится множество примеров.

Название: Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems
Автор: P. Naga Srinivasu, Norita Md Norwawi, Sheng Lung Peng
Издательство: Bentham Books
Год: 2022
Страниц: 225
Язык: английский
Формат: pdf (true), epub
Размер: 21.3 MB

Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems explains the emerging technology that currently drives computer-aided diagnosis, medical analysis and other electronic healthcare systems. 11 book chapters cover advances in biomedical engineering fields achieved through Deep Learning (DL) and soft-computing techniques. Readers are given a fresh perspective of how intelligent systems impact patient outcomes for healthcare professionals who are assisted by advanced computing algorithms. To diagnose the early detection of the non-proliferative diabetic retinopathy, utilizing the PSO clustering for the segmentation of fundus images improves the accuracy of the non-proliferative diabetic retinopathy with Raspberry Pi. The Raspberry Pi is a minimal expense, utilizes open-source programming segments, and proficiently works for constant areas. Raspberry Pi measures the pictures and enhances results. Raspberry Pi improves the nature of the yield and decreases the expense of preparing for clinical picture applications.

Название: Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Автор: Vaishali Mehta, Dolly Sharma, Sergio Marquez Sanchez
Издательство: Bentham Books
Год: 2022
Страниц: 229
Язык: английский
Формат: pdf (true), epub
Размер: 16.2 MB

The competence of Deep Learning (DL) for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep Learning enables detection of meaningful features that are difficult to perform using traditional methods. Chapters introduce the reader to a broad range of topics in Deep Learning and Machine Learning. Several Deep Learning techniques used by industrial professionals are covered, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical project methodology. Readers will find information on the value of deep learning in applications such as natural language processing (NLP), speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.

Название: Recent Developments in Artificial Intelligence and Communication Technologies
Автор: Vikash Yadav, Parashu Ram Pal, Chuan-Ming Liu
Издательство: Bentham Books
Год: 2022
Страниц: 232
Язык: английский
Формат: pdf (true), epub
Размер: 22.8 MB

This book is a review of recent Artificial Intelligence (AI) approaches, initiatives and applications in engineering and science fields. It features contributions that highlight the use of techniques such as Machine Learning (ML), mining engineering, modeling and simulation, and fuzzy logic methods in the fields of communication, networking and information engineering. This book aims to discuss Computational Intelligence approaches, initiatives, and applications in engineering and science fields (including Machine Intelligence, Mining Engineering, Modeling and Simulation, Computer, Communication, Networking and Information Engineering, Systems Engineering, Innovative Computing Systems, Adaptive Technologies for Sustainable Growth, and Theoretical and Applied Sciences).