Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking. Key Features Build a full-fledged image processing application using JuliaImages Perform basic to advanced image and video stream processing with Julia's APIs Understand and optimize various features of OpenCV with easy examples Book Description Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You'll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you'll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease. What you will learn Analyze image metadata and identify critical data using JuliaImages Apply filters and improve image quality and color schemes Extract 2D features for image com

Blynk, known as the most user-friendly IoT platform, provides a way to build mobile applications in minutes. With the Blynk drag-n-drop mobile app builder, anyone can build amazing IoT applications with minimal resources and effort, on hardware ranging from prototyping platforms such as Arduino and Raspberry Pi 3 to industrial-grade ESP8266, Intel, Sierra Wireless, Particle, Texas Instruments, and a few others. This book uses Raspberry Pi as the main hardware platform and C/C++ to write sketches to build projects. The first part of this book shows how to set up a development environment with various hardware combinations and required software. Then you will build your first IoT application with Blynk using various hardware combinations and connectivity types such as Ethernet and Wi-Fi. Then you'll use and configure various widgets (control, display, notification, interface, time input, and some advanced widgets) with Blynk App Builder to build applications. Towards the end, you will learn how to connect with and use built-in sensors on Android and iOS mobile devices. Finally you will learn how to build a robot that can be controlled with a Blynk app through the Blynk cloud and personal server. By the end of this book, you will have hands-on experience building IoT applications using Blynk. What you will learn Build devices using Raspberry Pi and various sensors and actuators Use Blynk cloud to connect and control devices through the Blynk app Connect devices to Blynk cloud and server through Ethernet and Wi-Fi Make applications using Blynk apps (App Builder) on Android and iOS platforms Run Blynk personal server on the Windows, MAC, and Raspberry Pi platforms Who This Book Is For This book is targeted at any stakeholder working in the IoT sector who wants to understand how Blynk works and build exciting IoT projects. Prior understanding of Raspberry Pi, C/C++, and electronics is a must. Table of Contents Setting up Development Environment Building your First Bly

Design and implement professional level programs by exploring modern data structures and algorithms in Rust. Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems’ programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. What you will learn Design and implement complex data structures in Rust Analyze, implement, and improve searching and sorting algorithms in Rust Create and use well-tested and reusable components with Rust Understand the basics of multithreaded programming and advanced algorithm design Become familiar with application profiling based on benchmarking and testing Explore the borrowing complexity of implementing algorithms

Blockchain concepts and the Hyperledger technologies are hot topics. Hyperledger is an open source project to create private blockchain applications for different domains including finance, banking, supply chain, IoT and much more. This book will be an easy reference to explore and build blockchain networks using Hyperledger services. This book will start with explaining the blockchain evolution and then proceed to an overview of technologies like Ethereum, R3 Corda, Coco, and Hyperledger. We will learn how to set up and launch Hyperledger Fabric in Bluemix. We will look into the architecture and the components of Hyperledger Fabric which are used to build private blockchain applications. Later we will delve into how we can interact with Hyperledger Fabric blockchain to build private networks from scratch covering all the required principles such as chaincode, smart contracts, cryptocurrencies and much more on the Hyperledger network. By the end of this book, you will be able to build and deploy your own decentralized applications using Hyperledger addressing key pain points encountered in blockchain lifecycle.

Hands-On Machine Learning with Scikit-Learn and TensorFlow 英文原版

英文电子书。。epub格式

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2ed 2019.pdf Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow SECOND EDITION Concepts, Tools, and Techniques to Build Intelligent Systems

Qt 5是Qt的最新版本，使您能够为多个目标开发具有复杂用户界面的应用程序。它为您提供了更快，更智能的方法，可以为多个平台创建现代UI和应用程序。本书将教您设计和构建功能性，吸引力和用户友好的图形用户界面。 在本书的最初部分，您将了解Qt 5是什么以及您可以用它做什么。您将探索Qt Designer，发现Qt 5中通常使用的不同类型的小部件，然后将您的应用程序连接到数据库以执行动态操作。接下来，您将了解到Qt 5图表，它允许您轻松呈现不同类型的图形和图表，并在您的应用程序中合并列表视图窗口小部件。您还将在本书的过程中使用各种Qt模块，如QtLocation，QtWebEngine和网络模块。最后，我们将专注于使用QT 5进行跨平台开发，使您能够编写一次代码并在任何地方运行，包括移动平台。 在本书的最后，您将成功了解高端GUI应用程序，并将能够构建更多功能更强大的跨平台应用程序。

Hands-On Automated Machine Learning 英文无水印转化版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

Hands-On Intelligent Agents with OpenAI Gym_ Your guide to developing AI agents using deep reinforcement learning