Название: Deep Learning with PyTorch : Step-by-Step A Beginner's Guide (2022)
Автор: Daniel Voigt Godoy
Издательство: Leanpub
Год: 2022-02-12 (v1.1.1)
Страниц: 1042
Язык: английский
Формат: pdf (true), epub
Размер: 55.0 MB

If you're looking for a book where you can learn about Deep Learning and PyTorch without having to spend hours deciphering cryptic text and code, and that's easy and enjoyable to read, this is it :-) PyTorch is the fastest-growing framework for developing deep learning models and it has a huge ecosystem. That is, there are many tools and libraries developed on top of PyTorch. It is the preferred framework in academia already and is making its way in the industry. This book aims to get you started with PyTorch while giving you a solid understanding of how it works.

Название: Daily C++ Interview : Prepare yourself for your next interview one question a day
Автор: Sandor Dargo
Издательство: Leanpub
Год: 2022-09-05
Страниц: 284
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

Daily C++ Interview is an around 150 day program and it offers you questions and coding problems organized around different topics, such as polymorphism, smart pointers, modern C++ best practices, etc. Some questions come back multiple times during the 5 months so that you better remember, yet there are more than 120 unique questions. I recommend you take a question every day, try to answer it on your own and then read the answer. The depth of the answers is limited due to space and time reasons, but for almost every question you get a list of references, so you’re more than welcome to continue the quest. This book helps you prepare for your next C++ interview if you are looking for an entry- or intermediate level position.

Название: Embedded Software Design with Remote Temperature Sensing Example
Автор: David Clifton
Издательство: Leanpub
Год: 2021-05-07
Страниц: 117
Язык: английский
Формат: pdf (true), epub +code
Размер: 35.4 MB

This eBook demonstrates an orderly way of designing embedded software. It works pretty well after preliminary development activities are complete. This design approach is illustrated with a simple, fully implemented example system, including Arduino SAMD M0 source code. The example is an air temperature measurement device, which repeatedly outputs readings over Bluetooth LE. It sounds an alarm and outputs a warning message if the temperature goes above or below defined limits. It might be used in a sauna or with a hair dryer to make sure they don’t get too hot. It could also be used to alert the user when the temperature in a walk-in freezer, wine cellar, or refrigerator truck goes beyond the upper or lower limits.

Название: Embedded Software Architecture
Автор: David Clifton
Издательство: Leanpub
Год: 2020-06-17
Язык: английский
Формат: pdf (true), epub
Размер: 35.9 MB

So you have good information about the new system hardware and requirements. You also have a collection of chip vendor libraries, compiler supported functions, previous generation software, and ideas for new code. How do you come up with a software architecture that can tie everything together to meet the system requirements? Somebody has to select existing source code, and make sure it is ok to use. Then he must modify, organize, and package it into objects compatible with the system hardware. Lastly, more software objects must be defined to tie it all together; and meet the system requirements. This organizational effort is called embedded software architecture. After the hardware design, system requirements, and safety analysis are mostly complete, beginning a software architecture is the first step in the design and coding of the software.

Название: Data Structures and Algorithms for Job Interviews : Prep for the interview and get the job you want
Автор: Alejandro Garcia
Издательство: Leanpub
Год: 2020-08-15
Страниц: 152
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

A collection of Python code solving some of the common Data Structures and Algorithms you might be expected to encounter at an interview process. Land the Software Engineer job you want by mastering one of the most challenging questions you might face during the interview. This book is a collection of Data Structures and Algorithms to train and win the Interview. Get ahead of the competition by solving a wide variety of coding problems! All the problems are solved in Python code.

Название: Teach Yourself Data Analytics in 30 Days: Learn to use Python and Jupyter Notebooks by exploring fun, real-world data projects
Автор: David Clinton
Издательство: Leanpub
Год: 2021-04-28
Страниц: 133
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

Would you like to learn how to extract useful insights from all the data around you without having to take years' worth of courses? College data science programs teach valuable skills, but sometimes all you need is access to some quick and direct tools. Welcome to Teach Yourself Data Analytics in 30 Days. The book's curriculum is organized by eight data "stories." The stories are interesting on their own. But there's no doubt what they're really all about is Python data analytics. Each story/chapter contains all the information you would need to go out and get the raw data and then write the Python analytics code necessary to solve a specific problem. Or, in other words, each chapter teaches new Python skills. This curriculum assumes you’ve got at least a very basic understanding of programming in general and Python programming in particular.

Название: The Road to React : Your journey to master React in jаvascript (2022)
Автор: Robin Wieruch
Издательство: Leanpub
Год: 2022-09-27
Страниц: 287
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The Road to React: Your journey to master React.js in jаvascript - is a comprehensive and pragmatic yet concise React feat. Hooks book. In "The Road to React" you will learn about all the fundamentals of React.js with Hooks while building a full-blown React application step by step. While you create the React application, every chapter will introduce you to a new React key feature. However, there is more than only the fundamentals: The book dives into related topics (e.g. React with TypeScript, Testing, Performance Optimizations) and advanced feature implementations like client- and server-side searching. At the end of the book, you will have a fully working deployed React application. Core ConceptsPragmatic: Master React while building a complete application step by step.

Название: Learning Algorithms Through Programming and Puzzle Solving (2022)
Автор: Alexander S. Kulikov, Pavel Pevzner
Издательство: Leanpub
Год: 2022-08-01
Страниц: 305
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book powers our MicroMasters program on edX and specialization on Coursera, one of the ten most popular computer science courses on Coursera. Over half a million students have tried to solve many programming challenges and algorithmic puzzles described in this book There are many excellent books on Algorithms — why in the world we would write another one??? Because we feel that while these books excel in introducing algorithmic ideas, they have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill.

Название: Artificial Intelligence Technology
Автор: Huawei Technologies Co., Ltd.
Издательство: Springer
Год: 2023
Страниц: 308
Язык: английский
Формат: pdf (true), epub
Размер: 34.0 MB

This book aims to give our readers a basic outline of today’s research and technology developments on Artificial Intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and common theories and methodologies that are widely accepted in AI research and application. This book is written in comprehensible and plain language, featuring clearly explained theories and concepts and extensive analysis and examples. Some of the traditional findings are skipped in narration on the premise of a relatively comprehensive introduction to the evolution of Artificial Intelligence technology. The book provides a detailed elaboration of the basic concepts of AI, Machine Learning (ML), as well as other relevant topics, including Deep Learning (DL), deep learning framework (TensorFlow), Huawei MindSpore AI development framework, Huawei Atlas computing platform, Huawei AI open platform for smart terminals, and Huawei CLOUD Enterprise Intelligence application platform.

Название: Quality Assessment of Visual Content
Автор: Ke Gu, Hongyan Liu, Chengxu Zhou
Издательство: Springer
Серия: Advances in Computer Vision and Pattern Recognition
Год: 2022
Страниц: 256
Язык: английский
Формат: pdf (true), epub
Размер: 45.9 MB

Image quality assessment (QA) is one of the basic techniques of image processing. It can evaluate the degree of image distortion by analyzing and studying the characteristics of images. In an image processing system, image QA plays an important role in system performance evaluation, algorithm analysis, and comparison. This book provides readers with a comprehensive review of image quality assessment technology, particularly applications on screen content images, 3D-synthesized images, sonar images, enhanced images, light-field images, VR images, and super-resolution images. It covers topics containing structural variation analysis, sparse reference information, multiscale natural scene statistical analysis, task and visual perception, contour degradation measurement, spatial angular measurement, local and global assessment metrics, and more. Researchers have designed many SR QA methods and introduced Deep Learning (DL) techniques to better achieve objective QA of SR images. In the following content, we will introduce two Deep Learning-based SR image QA methods based on learning cascade regression and specific loss functions. By combining Deep Learning technology, the model can establish a more robust mapping relationship between the multiple natural statistical features and the visual perception scores. The goal of this book is to facilitate the use of these image quality assessment algorithms by engineers and scientists from various disciplines, such as optics, electronics, math, photography techniques and computation techniques.