Название: Applied TinyML: End-to-end machine learning for microcontrollers with examples
Автор: Ricardo Cid
Издательство: BPB Publications
Год: 2025
Страниц: 371
Язык: английский
Формат: epub (true)
Размер: 16.8 MB

AI is useful when it runs in large machines in data centers, but only when it makes it down to stand-alone edge devices will it unlock countless new use cases and applications. TinyML is transforming AI by bringing ML capabilities to small, low-power devices at the very edge of the network. This book will guide you through building these smart devices. It establishes TinyML's core foundations and a methodology for application development, from problem definition to power management and cost analysis. You will explore practical skills applications, learning sound, movement, and image classification, followed by advanced techniques like object tracking and sensor fusion, using methods such as Kalman filters. You will explore deep learning regression for predictive tasks and essential anomaly detection for identifying unusual patterns, all demonstrated through real-world use cases. This book is for engineers, developers, and AI enthusiasts eager to build intelligent edge devices. No prior deep expertise in AI or electronics is required; it is perfect for anyone starting their journey in creating smart widgets with TinyML.

Название: Deep Learning in Modern C++: End-to-end development and implementation of deep learning algorithms
Автор: Luiz Carlos d'Oleron
Издательство: BPB Publications
Год: 2025
Страниц: 525
Язык: английский
Формат: epub (true)
Размер: 36.0 MB

Deep learning is revolutionizing how we approach complex problems, and harnessing its power directly within C++ provides unparalleled control and efficiency. This book bridges the gap between cutting-edge Deep Learning techniques and the robust, high-performance capabilities of modern C++, empowering developers to build sophisticated AI applications from the ground up. This book guides you through the entire development lifecycle, starting with a solid foundation in the modern features and essential libraries, like Eigen, for C++. You will master core Deep Learning concepts by implementing convolutions, fully connected layers, and activation functions, while learning to optimize models using gradient descent, backpropagation, and advanced optimizers like SGD, Momentum, RMSProp, and Adam. Crucial topics like cross-validation, regularization, and performance evaluation are covered, ensuring robust and reliable applications. This book is tailored for C++ developers, data scientists, and Machine Learning engineers seeking to implement Deep Learning models using modern C++. A foundational understanding of C++ programming and basic linear algebra is recommended.

Название: Прописи-раскраски для малышей (13 тетрадей)
Автор: Гаврина С.Е., Кутявина Н.Л., Топоркова И.Г., Щербинина С.В.
Изд-во: Экзамен
Год: 2016-2017
К-во стр.: 13*16
Формат: pdf
Размер: 136,54 Мб
Язык: русский

Данные пособия полностью соответствуют федеральному государственному образовательному стандарту дошкольного образования. Занимаясь по книгам, дошкольники в доступной занимательной форме смогут развивать такие познавательные процессы, как зрительное восприятие, произвольное внимание, наглядно-образное и логическое мышление. Игровые задания, представленные в книгах, помогут малышу также развивать мелкую моторику пальцев и кисти руки. Заниматься по книгам можно как индивидуально, так и с группой детей.

Название: The Art and Science of Quantitative Research (Studies in Systems, Decision and Control, 599)
Автор: Alaba Ayotunde Fadele, Alvaro Rocha
Издательство: Springer
Год выхода: 2025
Страниц: 197
Формат: True PDF, True ePUB
Размер: 13 MB
Язык: английский

This book reflects on the insights gained from exploring the key dimensions of quantitative research as outlined in the preceding chapters. Quantitative research, with its emphasis on objectivity, systematic methodologies, and statistical rigor, plays a pivotal role in advancing knowledge across diverse fields. The study began with an introduction to its foundational principles, highlighting its distinct characteristics and relevance.

Название: Коэффициент шума и его измерение на СВЧ
Автор: Алмазов-Долженко К.И.
Издательство: Научный мир
Год издания: 2000
Количество страниц: 243
Язык: русский
Формат: DjVu
Размер: 10,18 Мб

Обобщены и систематически изложены основные вопросы, связанные с практической оценкой чувствительности усилительных и приемных устройств СВЧ диапазона.
Рассматривается нормирование условий при измерении "коэффициента шума" (Кш), "шумовой температуры" (Ту) и системы шумовых параметров усилителя в рассогласованном тракте. Сведения о шумовых параметрах приводятся в объеме, необходимом для понимания вопросов, связанных с измерениями.
Указываются особенности измерения шумовых сигналов и используемые методы...

Название: Practical Deep Learning with PyTorch: PyTorch implementation for computer vision, NLP, audio, and language translation
Автор: Deepak Gowda
Издательство: BPB Publications
Год: 2025
Страниц: 328
Язык: английский
Формат: epub (true)
Размер: 21.2 MB

Deep Learning is revolutionizing how we solve complex problems, and PyTorch has emerged as a leading framework for its ease of use and flexibility. This book is designed to bridge the gap between theory and practice, providing a hands-on approach to understanding Deep Learning with PyTorch. It covers fundamental and advanced topics, including object detection, NLP, GANs, and time series forecasting. The book begins with foundational Deep Learning concepts and guides you through setting up PyTorch. You will learn to manipulate tensors, load data, build models, and understand computer vision with multi-object detection using YOLO to enhance image recognition through transfer learning techniques. You will also analyze generative models with GANs for data augmentation and venture into audio processing with text-to-speech and speech-to-text using TorchAudio. Learn NLP tasks like text classification, summarization, sentiment analysis, and question answering with pre-trained models like BERT. Finally, learn to tackle time series forecasting using RNNs, LSTMs, CNNs, and transformers. This book is for AI enthusiasts, data scientists, and engineers seeking practical knowledge of Deep Learning.

Название: Проектирование радиоэлектронной аппаратуры на микропроцессорах: Программирование, типовые решения, методы отладки
Автор: А.Г. Алексенко, А.А. Галицын, А.Д. Иванников
Издательство: Радио и связь
Год издания: 1984
Количество страниц: 274
Язык: русский
Формат: DjVu
Размер: 10,12 Мб

Даются основные принципы проектирования цифровой аппаратуры на основе микропроцессорных средств. Основное внимание уделяется разработке технических средств и программного обеспечения для сопряжения микро-ЭВМ с управляемым объектом, ЗУ микропроцессорных систем, комплексной отладке микропроцессорных систем с использованием аппаратно-программных отладочных комплексов. Подробно рассматривается процесс проектирования систем числового программного управления и цифровых фильтров на основе микропроцессоров.
Для инженерно-технических работников, связанных с разработкой аппаратуры на микропроцессорах.

Название: GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples
Автор: Bernhard Eidel
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2025
Страниц: 260
Язык: английский
Формат: pdf
Размер: 23.1 MB

This book covers all the topics about ChatGPT required to successfully generate Python code to solve problems in computational materials science and mechanics, complemented by numerous fully worked-out applications. The complete work flow for AI-assisted coding is given, including: (i) prompt engineering providing a powerful toolset for how to give coding assignments to ChatGPT effectively; (ii) commented code listings; and (iii) tips and tricks to verify the codes in rigorous tests including human interventions to fix issues and gaps. Finally, (iv) the coding projects are critically reviewed to address the strengths and remaining weaknesses of the Chatbot, including explicit recommendations on how to communicate with GPT. For the steps (i)–(iv) the book presents a curated selection of intriguing problems from computational materials science and computational mechanics including Machine Learning for problem-solving. These problems are carefully chosen for their relevance to current research and industrial applications and their suitability for showcasing the advanced capabilities of GPT-4 for code generation.

Название: Software Engineering Made Easy: A Comprehensive Reference Guide for Writing Good Code
Автор: Marco Gähler
Издательство: Apress
Год: 2025
Страниц: 299
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Learn how to write good code for humans. This user-friendly book is a comprehensive guide to writing clear and bug-free code. It integrates established programming principles and outlines expert-driven rules to prevent you from over-complicating your code. You’ll take a practical approach to programming, applicable to any programming language and explore useful advice and concrete examples in a concise and compact form. Sections on Single Responsibility Principle, naming, levels of abstraction, testing, logic (if/else), interfaces, and more, reinforce how to effectively write low-complexity code. While many of the principles addressed in this book are well-established, it offers you a single resource. Software Engineering Made Easy modernizes classic software programming principles with quick tips relevant to real-world applications. Intermediate programmers who have a basic understanding of coding but are relatively new to the workforce. Applicable to any programming language, but proficiency in C++ or Python is preferred. Advanced programmers may also benefit from learning how to deprogram bad habits and de-complicate their code.

Название: 96 Common Challenges in Power Query: Practical Solutions for Mastering Data Transformation in Excel and Power BI
Автор: Omid Motamedisedeh
Издательство: Apress
Год: 2025
Страниц: 675
Язык: английский
Формат: pdf
Размер: 35.8 MB

This comprehensive guide is designed to address the most frequent and challenging issues faced by users of Power Query, a powerful data transformation tool integrated into Excel, Power BI, and Microsoft Azure. By tackling 96 real-world problems with practical, step-by-step solutions, this book is an essential resource for data analysts, Excel enthusiasts, and Power BI professionals. It aims to enhance your data transformation skills and improve efficiency in handling complex data sets. Structured into 12 chapters, the book covers specific areas of Power Query such as data extraction, referencing, column splitting and merging, sorting and filtering, and pivoting and unpivoting tables. You will learn to combine data from Excel files with varying column names, handle multi-row headers, perform advanced filtering, and manage missing values using techniques such as linear interpolation and K-nearest neighbors (K-NN) imputation. Additionally, it covers crucial topics such as error-handling strategies, custom function creation, and the integration of Python and R with Power Query.