Tinyml Cookbook

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TinyML Cookbook

Author : Gian Marco Iodice
Publisher : Packt Publishing Ltd
ISBN 13 : 1837633967
Total Pages : 665 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis TinyML Cookbook by : Gian Marco Iodice

Download or read book TinyML Cookbook written by Gian Marco Iodice and published by Packt Publishing Ltd. This book was released on 2023-11-29 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 70 recipes to help you develop smart applications on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano using the power of machine learning Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Over 20+ new recipes, including recognizing music genres and detecting objects in a scene Create practical examples using TensorFlow Lite for Microcontrollers, Edge Impulse, and more Explore cutting-edge technologies, such as on-device training for updating models without data leaving the device Book DescriptionDiscover the incredible world of tiny Machine Learning (tinyML) and create smart projects using real-world data sensors with the Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano. TinyML Cookbook, Second Edition, will show you how to build unique end-to-end ML applications using temperature, humidity, vision, audio, and accelerometer sensors in different scenarios. These projects will equip you with the knowledge and skills to bring intelligence to microcontrollers. You'll train custom models from weather prediction to real-time speech recognition using TensorFlow and Edge Impulse.Expert tips will help you squeeze ML models into tight memory budgets and accelerate performance using CMSIS-DSP. This improved edition includes new recipes featuring an LSTM neural network to recognize music genres and the Faster-Objects-More-Objects (FOMO) algorithm for detecting objects in a scene. Furthermore, you’ll work on scikit-learn model deployment on microcontrollers, implement on-device training, and deploy a model using microTVM, including on a microNPU. This beginner-friendly and comprehensive book will help you stay up to date with the latest developments in the tinyML community and give you the knowledge to build unique projects with microcontrollers!What you will learn Understand the microcontroller programming fundamentals Work with real-world sensors, such as the microphone, camera, and accelerometer Implement an app that responds to human voice or recognizes music genres Leverage transfer learning with FOMO and Keras Learn best practices on how to use the CMSIS-DSP library Create a gesture-recognition app to build a remote control Design a CIFAR-10 model for memory-constrained microcontrollers Train a neural network on microcontrollers Who this book is for This book is ideal for machine learning engineers or data scientists looking to build embedded/edge ML applications and IoT developers who want to add machine learning capabilities to their devices. If you’re an engineer, student, or hobbyist interested in exploring tinyML, then this book is your perfect companion. Basic familiarity with C/C++ and Python programming is a prerequisite; however, no prior knowledge of microcontrollers is necessary to get started with this book.

TinyML

Author : Pete Warden
Publisher : O'Reilly Media
ISBN 13 : 1492052019
Total Pages : 504 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis TinyML by : Pete Warden

Download or read book TinyML written by Pete Warden and published by O'Reilly Media. This book was released on 2019-12-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

Hands-on TinyML

Author : Rohan Banerjee
Publisher : BPB Publications
ISBN 13 : 9355518447
Total Pages : 309 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Hands-on TinyML by : Rohan Banerjee

Download or read book Hands-on TinyML written by Rohan Banerjee and published by BPB Publications. This book was released on 2023-06-09 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to deploy complex machine learning models on single board computers, mobile phones, and microcontrollers KEY FEATURES ● Gain a comprehensive understanding of TinyML's core concepts. ● Learn how to design your own TinyML applications from the ground up. ● Explore cutting-edge models, hardware, and software platforms for developing TinyML. DESCRIPTION TinyML is an innovative technology that empowers small and resource-constrained edge devices with the capabilities of machine learning. If you're interested in deploying machine learning models directly on microcontrollers, single board computers, or mobile phones without relying on continuous cloud connectivity, this book is an ideal resource for you. The book begins with a refresher on Python, covering essential concepts and popular libraries like NumPy and Pandas. It then delves into the fundamentals of neural networks and explores the practical implementation of deep learning using TensorFlow and Keras. Furthermore, the book provides an in-depth overview of TensorFlow Lite, a specialized framework for optimizing and deploying models on edge devices. It also discusses various model optimization techniques that reduce the model size without compromising performance. As the book progresses, it offers a step-by-step guidance on creating deep learning models for object detection and face recognition specifically tailored for the Raspberry Pi. You will also be introduced to the intricacies of deploying TensorFlow Lite applications on real-world edge devices. Lastly, the book explores the exciting possibilities of using TensorFlow Lite on microcontroller units (MCUs), opening up new opportunities for deploying machine learning models on resource-constrained devices. Overall, this book serves as a valuable resource for anyone interested in harnessing the power of machine learning on edge devices. WHAT YOU WILL LEARN ● Explore different hardware and software platforms for designing TinyML. ● Create a deep learning model for object detection using the MobileNet architecture. ● Optimize large neural network models with the TensorFlow Model Optimization Toolkit. ● Explore the capabilities of TensorFlow Lite on microcontrollers. ● Build a face recognition system on a Raspberry Pi. ● Build a keyword detection system on an Arduino Nano. WHO THIS BOOK IS FOR This book is designed for undergraduate and postgraduate students in the fields of Computer Science, Artificial Intelligence, Electronics, and Electrical Engineering, including MSc and MCA programs. It is also a valuable reference for young professionals who have recently entered the industry and wish to enhance their skills. TABLE OF CONTENTS 1. Introduction to TinyML and its Applications 2. Crash Course on Python and TensorFlow Basics 3. Gearing with Deep Learning 4. Experiencing TensorFlow 5. Model Optimization Using TensorFlow 6. Deploying My First TinyML Application 7. Deep Dive into Application Deployment 8. TensorFlow Lite for Microcontrollers 9. Keyword Spotting on Microcontrollers 10. Conclusion and Further Reading Appendix

TinyML Cookbook

Author : Gian Marco Iodice
Publisher : Packt Publishing Ltd
ISBN 13 : 1801812632
Total Pages : 344 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis TinyML Cookbook by : Gian Marco Iodice

Download or read book TinyML Cookbook written by Gian Marco Iodice and published by Packt Publishing Ltd. This book was released on 2022-04-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work through over 50 recipes to develop smart applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of machine learning Key Features Train and deploy ML models on Arduino Nano 33 BLE Sense and Raspberry Pi Pico Work with different ML frameworks such as TensorFlow Lite for Microcontrollers and Edge Impulse Explore cutting-edge technologies such as microTVM and Arm Ethos-U55 microNPU Book DescriptionThis book explores TinyML, a fast-growing field at the unique intersection of machine learning and embedded systems to make AI ubiquitous with extremely low-powered devices such as microcontrollers. The TinyML Cookbook starts with a practical introduction to this multidisciplinary field to get you up to speed with some of the fundamentals for deploying intelligent applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico. As you progress, you’ll tackle various problems that you may encounter while prototyping microcontrollers, such as controlling the LED state with GPIO and a push-button, supplying power to microcontrollers with batteries, and more. Next, you’ll cover recipes relating to temperature, humidity, and the three “V” sensors (Voice, Vision, and Vibration) to gain the necessary skills to implement end-to-end smart applications in different scenarios. Later, you’ll learn best practices for building tiny models for memory-constrained microcontrollers. Finally, you’ll explore two of the most recent technologies, microTVM and microNPU that will help you step up your TinyML game. By the end of this book, you’ll be well-versed with best practices and machine learning frameworks to develop ML apps easily on microcontrollers and have a clear understanding of the key aspects to consider during the development phase.What you will learn Understand the relevant microcontroller programming fundamentals Work with real-world sensors such as the microphone, camera, and accelerometer Run on-device machine learning with TensorFlow Lite for Microcontrollers Implement an app that responds to human voice with Edge Impulse Leverage transfer learning to classify indoor rooms with Arduino Nano 33 BLE Sense Create a gesture-recognition app with Raspberry Pi Pico Design a CIFAR-10 model for memory-constrained microcontrollers Run an image classifier on a virtual Arm Ethos-U55 microNPU with microTVM Who this book is for This book is for machine learning developers/engineers interested in developing machine learning applications on microcontrollers through practical examples quickly. Basic familiarity with C/C++, the Python programming language, and the command-line interface (CLI) is required. However, no prior knowledge of microcontrollers is necessary.

AI at the Edge

Author : Daniel Situnayake
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098120167
Total Pages : 540 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis AI at the Edge by : Daniel Situnayake

Download or read book AI at the Edge written by Daniel Situnayake and published by "O'Reilly Media, Inc.". This book was released on 2023-01-10 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. Develop your expertise in AI and ML for edge devices Understand which projects are best solved with edge AI Explore key design patterns for edge AI apps Learn an iterative workflow for developing AI systems Build a team with the skills to solve real-world problems Follow a responsible AI process to create effective products

Developing IoT Projects with ESP32

Author : Vedat Ozan Oner
Publisher : Packt Publishing Ltd
ISBN 13 : 180324481X
Total Pages : 579 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Developing IoT Projects with ESP32 by : Vedat Ozan Oner

Download or read book Developing IoT Projects with ESP32 written by Vedat Ozan Oner and published by Packt Publishing Ltd. This book was released on 2023-11-30 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: From smart sensors to cloud integration and the world of TinyML, this book is your comprehensive guide to the IoT ecosystem, using the ESP32 and industry-standard tools and technologies Key Features Build IoT projects from scratch using ESP32 Customize solutions, take them to cloud, visualize real-time data, implement security features Practice using a variety of hands-on projects such as an audio player, smart home, and more Book DescriptionESP32, a low-cost and energy-efficient system-on-a-chip microcontroller, has become the backbone of numerous WiFi devices, fueling IoT innovation. This book offers a holistic approach to building an IoT system from the ground up, ensuring secure data communication from sensors to cloud platforms, empowering you to create production-grade IoT solutions using the ESP32 SoC. Starting with IoT essentials supported by real-world use cases, this book takes you through the entire process of constructing an IoT device using ESP32. Each chapter introduces new dimensions to your IoT applications, covering sensor communication, the integration of prominent IoT libraries like LittleFS and LVGL, connectivity options via WiFi, security measures, cloud integration, and the visualization of real-time data using Grafana. Furthermore, a dedicated section explores AI/ML for embedded systems, guiding you through building and running ML applications with tinyML and ESP32-S3 to create state-of-the-art embedded products. This book adopts a hands-on approach, ensuring you can start building IoT solutions right from the beginning. Towards the end of the book, you'll tackle a full-scale Smart Home project, applying all the techniques you've learned in real-time. Embark on your journey to build secure, production-grade IoT systems with ESP32 today!What you will learn Explore ESP32 with IDE and debugging tools for effective IoT creation Drive GPIO, I2C, multimedia, and storage for seamless integration of external devices Utilize handy IoT libraries to enhance your ESP32 projects Manage WiFi like a pro with STA & AP modes, provisioning, and ESP Rainmaker framework features Ensure robust IoT security with secure boot and OTA firmware updates Harness AWS IoT for data handling and achieve stunning visualization using Grafana Enhance your projects with voice capabilities using ESP AFE and Speech Recognition Innovate with tinyML on ESP32-S3 and the Edge Impulse platform Who this book is forIf you are an embedded software developer, an IoT software architect or developer, a technologist, or anyone who wants to learn how to use ESP32 and its applications, this book is for you. A basic understanding of embedded systems, programming, networking, and cloud computing concepts is necessary to get started with the book.

18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)

Author : Pablo García Bringas
Publisher : Springer Nature
ISBN 13 : 3031425294
Total Pages : 305 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) by : Pablo García Bringas

Download or read book 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) written by Pablo García Bringas and published by Springer Nature. This book was released on 2023-08-30 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2023 conference held in the beautiful and historic city of Salamanca (Spain) in September 2023. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 18th SOCO 2023 International Program Committee selected 61 papers which are published in these conference proceedings and represents an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as: Time Series Forecasting in Industrial and Environmental Applications, Technological Foundations and Advanced Applications of Drone Systems, Soft Computing Methods in Manufacturing and Management Systems, Efficiency and Explainability in Machine Learning and Soft Computing, Machine Learning and Computer Vision in Industry 4.0, Genetic and Evolutionary Computation in Real World and Industry, and Soft Computing and Hard Computing for a Data Science Process Model. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the Program Committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.

Smart Technologies for a Sustainable Future

Author : Michael E. Auer
Publisher : Springer Nature
ISBN 13 : 3031619056
Total Pages : 450 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Smart Technologies for a Sustainable Future by : Michael E. Auer

Download or read book Smart Technologies for a Sustainable Future written by Michael E. Auer and published by Springer Nature. This book was released on with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Design in Metaverse: Artificial Intelligence, Game Design, Style-Gan2 and More…

Author : Ismail Ergen
Publisher : Allied Publishers
ISBN 13 : 9390951453
Total Pages : 124 pages
Book Rating : 4.3/5 (99 download)

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Book Synopsis Design in Metaverse: Artificial Intelligence, Game Design, Style-Gan2 and More… by : Ismail Ergen

Download or read book Design in Metaverse: Artificial Intelligence, Game Design, Style-Gan2 and More… written by Ismail Ergen and published by Allied Publishers. This book was released on 2022-12-29 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a future situation known as the Metaverse, individuals will be able to enter a shared online reality that contains avatars—digital representations of both themselves and other users—through the use of advanced computing.In this book you will find the potential for graphic design in this space is enormous; as metaverse applications advance and take on more realism, graphic designers will be expected to provide intuitive, aesthetically pleasing user interfaces and user experiences. By making unique images for metaverse platforms, graphic artists may discover new ways to profit from their work in the future.

Practical Deep Learning for Cloud, Mobile, and Edge

Author : Anirudh Koul
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492034819
Total Pages : 585 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Practical Deep Learning for Cloud, Mobile, and Edge by : Anirudh Koul

Download or read book Practical Deep Learning for Cloud, Mobile, and Edge written by Anirudh Koul and published by "O'Reilly Media, Inc.". This book was released on 2019-10-14 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Agile Machine Learning with DataRobot

Author : Bipin Chadha
Publisher : Packt Publishing Ltd
ISBN 13 : 1801078645
Total Pages : 345 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Agile Machine Learning with DataRobot by : Bipin Chadha

Download or read book Agile Machine Learning with DataRobot written by Bipin Chadha and published by Packt Publishing Ltd. This book was released on 2021-12-24 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data Key FeaturesGet well-versed with DataRobot features using real-world examplesUse this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycleMake use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML modelsBook Description DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors. What you will learnUnderstand and solve business problems using DataRobotUse DataRobot to prepare your data and perform various data analysis tasks to start building modelsDevelop robust ML models and assess their results correctly before deploymentExplore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problemAnalyze a model's predictions and turn them into actionable insights for business usersUnderstand how DataRobot helps in governing, deploying, and maintaining ML modelsWho this book is for This book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.

Microcontroller Projects in C for the 8051

Author : Dogan Ibrahim
Publisher : Newnes
ISBN 13 : 9780750646406
Total Pages : 190 pages
Book Rating : 4.6/5 (464 download)

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Book Synopsis Microcontroller Projects in C for the 8051 by : Dogan Ibrahim

Download or read book Microcontroller Projects in C for the 8051 written by Dogan Ibrahim and published by Newnes. This book was released on 2000-06-05 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a thoroughly practical way to explore the 8051 and discover C programming through project work. Through graded projects, Dogan Ibrahim introduces the reader to the fundamentals of microelectronics, the 8051 family, programming in C, and the use of a C compiler. The specific device used for examples is the AT89C2051 - a small, economical chip with re-writable memory, readily available from the major component suppliers. A working knowledge of microcontrollers, and how to program them, is essential for all students of electronics. In this rapidly expanding field many students and professionals at all levels need to get up to speed with practical microcontroller applications. Their rapid fall in price has made microcontrollers the most exciting and accessible new development in electronics for years - rendering them equally popular with engineers, electronics hobbyists and teachers looking for a fresh range of projects. Microcontroller Projects in C for the 8051 is an ideal resource for self-study as well as providing an interesting, enjoyable and easily mastered alternative to more theoretical textbooks. Practical projects that enable students and practitioners to get up and running straight away with 8051 microcontrollers A hands-on introduction to practical C programming A wealth of project ideas for students and enthusiasts

Vulkan Cookbook

Author : Pawel Lapinski
Publisher : Packt Publishing Ltd
ISBN 13 : 1786464705
Total Pages : 692 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Vulkan Cookbook by : Pawel Lapinski

Download or read book Vulkan Cookbook written by Pawel Lapinski and published by Packt Publishing Ltd. This book was released on 2017-04-28 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work through recipes to unlock the full potential of the next generation graphics API—Vulkan About This Book This book explores a wide range of modern graphics programming techniques and GPU compute methods to make the best use of the Vulkan API Learn techniques that can be applied to a wide range of platforms desktop, smartphones, and embedded devices Get an idea on the graphics engine with multi-platform support and learn exciting imaging processing and post-processing techniques Who This Book Is For This book is ideal for developers who know C/C++ languages, have some basic familiarity with graphics programming, and now want to take advantage of the new Vulkan API in the process of building next generation computer graphics. Some basic familiarity of Vulkan would be useful to follow the recipes. OpenGL developers who want to take advantage of the Vulkan API will also find this book useful. What You Will Learn Work with Swapchain to present images on screen Create, submit, and synchronize operations processed by the hardware Create buffers and images, manage their memory, and upload data to them from CPU Explore descriptor sets and set up an interface between application and shaders Organize drawing operations into a set of render passes and subpasses Prepare graphics pipelines to draw 3D scenes and compute pipelines to perform mathematical calculations Implement geometry projection and tessellation, texturing, lighting, and post-processing techniques Write shaders in GLSL and convert them into SPIR-V assemblies Find out about and implement a collection of popular, advanced rendering techniques found in games and benchmarks In Detail Vulkan is the next generation graphics API released by the Khronos group. It is expected to be the successor to OpenGL and OpenGL ES, which it shares some similarities with such as its cross-platform capabilities, programmed pipeline stages, or nomenclature. Vulkan is a low-level API that gives developers much more control over the hardware, but also adds new responsibilities such as explicit memory and resources management. With it, though, Vulkan is expected to be much faster. This book is your guide to understanding Vulkan through a series of recipes. We start off by teaching you how to create instances in Vulkan and choose the device on which operations will be performed. You will then explore more complex topics such as command buffers, resources and memory management, pipelines, GLSL shaders, render passes, and more. Gradually, the book moves on to teach you advanced rendering techniques, how to draw 3D scenes, and how to improve the performance of your applications. By the end of the book, you will be familiar with the latest advanced techniques implemented with the Vulkan API, which can be used on a wide range of platforms. Style and approach This recipe-based guide will empower you to implement modern graphic programming techniques and help gain a solid understanding of the new Vulkan API.

Game Physics Cookbook

Author : Gabor Szauer
Publisher : Packt Publishing Ltd
ISBN 13 : 1787120813
Total Pages : 481 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Game Physics Cookbook by : Gabor Szauer

Download or read book Game Physics Cookbook written by Gabor Szauer and published by Packt Publishing Ltd. This book was released on 2017-03-24 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover over 100 easy-to-follow recipes to help you implement efficient game physics and collision detection in your games About This Book Get a comprehensive coverage of techniques to create high performance collision detection in games Learn the core mathematics concepts and physics involved in depicting collision detection for your games Get a hands-on experience of building a rigid body physics engine Who This Book Is For This book is for beginner to intermediate game developers. You don't need to have a formal education in games—you can be a hobbyist or indie developer who started making games with Unity 3D. What You Will Learn Implement fundamental maths so you can develop solid game physics Use matrices to encode linear transformations Know how to check geometric primitives for collisions Build a Physics engine that can create realistic rigid body behavior Understand advanced techniques, including the Separating Axis Theorem Create physically accurate collision reactions Explore spatial partitioning as an acceleration structure for collisions Resolve rigid body collisions between primitive shapes In Detail Physics is really important for game programmers who want to add realism and functionality to their games. Collision detection in particular is a problem that affects all game developers, regardless of the platform, engine, or toolkit they use. This book will teach you the concepts and formulas behind collision detection. You will also be taught how to build a simple physics engine, where Rigid Body physics is the main focus, and learn about intersection algorithms for primitive shapes. You'll begin by building a strong foundation in mathematics that will be used throughout the book. We'll guide you through implementing 2D and 3D primitives and show you how to perform effective collision tests for them. We then pivot to one of the harder areas of game development—collision detection and resolution. Further on, you will learn what a Physics engine is, how to set up a game window, and how to implement rendering. We'll explore advanced physics topics such as constraint solving. You'll also find out how to implement a rudimentary physics engine, which you can use to build an Angry Birds type of game or a more advanced game. By the end of the book, you will have implemented all primitive and some advanced collision tests, and you will be able to read on geometry and linear Algebra formulas to take forward to your own games! Style and approach Gain the necessary skills needed to build a Physics engine for your games through practical recipes, in an easy-to-read manner. Every topic explained in the book has clear, easy to understand code accompanying it.

Hands-On Network Programming with C# and .NET Core

Author : Sean Burns
Publisher : Packt Publishing Ltd
ISBN 13 : 1789345839
Total Pages : 473 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Hands-On Network Programming with C# and .NET Core by : Sean Burns

Download or read book Hands-On Network Programming with C# and .NET Core written by Sean Burns and published by Packt Publishing Ltd. This book was released on 2019-03-29 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to understanding network architecture, communication protocols, and network analysis to build secure applications compatible with the latest versions of C# 8 and .NET Core 3.0 Key FeaturesExplore various network architectures that make distributed programming possibleLearn how to make reliable software by writing secure interactions between clients and serversUse .NET Core for network device automation, DevOps, and software-defined networkingBook Description The C# language and the .NET Core application framework provide the tools and patterns required to make the discipline of network programming as intuitive and enjoyable as any other aspect of C# programming. With the help of this book, you will discover how the C# language and the .NET Core framework make this possible. The book begins by introducing the core concepts of network programming, and what distinguishes this field of programming from other disciplines. After this, you will gain insights into concepts such as transport protocols, sockets and ports, and remote data streams, which will provide you with a holistic understanding of how network software fits into larger distributed systems. The book will also explore the intricacies of how network software is implemented in a more explicit context, by covering sockets, connection strategies such as Transmission Control Protocol (TCP) and User Datagram Protocol (UDP), asynchronous processing, and threads. You will then be able to work through code examples for TCP servers, web APIs served over HTTP, and a Secure Shell (SSH) client. By the end of this book, you will have a good understanding of the Open Systems Interconnection (OSI) network stack, the various communication protocols for that stack, and the skills that are essential to implement those protocols using the C# programming language and the .NET Core framework. What you will learnUnderstand the breadth of C#'s network programming utility classesUtilize network-layer architecture and organizational strategiesImplement various communication and transport protocols within C#Discover hands-on examples of distributed application developmentGain hands-on experience with asynchronous socket programming and streamsLearn how C# and the .NET Core runtime interact with a hosting networkUnderstand a full suite of network programming tools and featuresWho this book is for If you're a .NET developer or a system administrator with .NET experience and are looking to get started with network programming, then this book is for you. Basic knowledge of C# and .NET is assumed, in addition to a basic understanding of common web protocols and some high-level distributed system designs.

Low-Power Computer Vision

Author : George K. Thiruvathukal
Publisher : CRC Press
ISBN 13 : 1000540960
Total Pages : 395 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Low-Power Computer Vision by : George K. Thiruvathukal

Download or read book Low-Power Computer Vision written by George K. Thiruvathukal and published by CRC Press. This book was released on 2022-02-22 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.