Author: Matthew Scarpino
Publisher: CRC Press
ISBN: 1040124763
Category : Computers
Languages : en
Pages : 385
Book Description
The WebGPU Sourcebook: High-Performance Graphics and Machine Learning in the Browser explains how to code web applications that access the client’s graphics processor unit, or GPU. This makes it possible to render graphics in a browser at high speed and perform computationally intensive tasks such as machine learning. By taking advantage of WebGPU, web developers can harness the same performance available to desktop developers. The first part of the book introduces WebGPU at a high level, without graphics theory or heavy math. The chapters in the second part are focused on graphical rendering and the rest of the book focuses on compute shaders. This book walks through several examples of WebGPU usage. It also: Discusses the classes and functions defined in the WebGPU API and shows how they’re used in practice Explains the theory of graphical rendering and shows how to implement rendering inside a web application Examines the theory of neural networks (machine learning) and shows how to create a web application that trains and executes a neural network
The WebGPU Sourcebook
Author: Matthew Scarpino
Publisher: CRC Press
ISBN: 1040124763
Category : Computers
Languages : en
Pages : 385
Book Description
The WebGPU Sourcebook: High-Performance Graphics and Machine Learning in the Browser explains how to code web applications that access the client’s graphics processor unit, or GPU. This makes it possible to render graphics in a browser at high speed and perform computationally intensive tasks such as machine learning. By taking advantage of WebGPU, web developers can harness the same performance available to desktop developers. The first part of the book introduces WebGPU at a high level, without graphics theory or heavy math. The chapters in the second part are focused on graphical rendering and the rest of the book focuses on compute shaders. This book walks through several examples of WebGPU usage. It also: Discusses the classes and functions defined in the WebGPU API and shows how they’re used in practice Explains the theory of graphical rendering and shows how to implement rendering inside a web application Examines the theory of neural networks (machine learning) and shows how to create a web application that trains and executes a neural network
Publisher: CRC Press
ISBN: 1040124763
Category : Computers
Languages : en
Pages : 385
Book Description
The WebGPU Sourcebook: High-Performance Graphics and Machine Learning in the Browser explains how to code web applications that access the client’s graphics processor unit, or GPU. This makes it possible to render graphics in a browser at high speed and perform computationally intensive tasks such as machine learning. By taking advantage of WebGPU, web developers can harness the same performance available to desktop developers. The first part of the book introduces WebGPU at a high level, without graphics theory or heavy math. The chapters in the second part are focused on graphical rendering and the rest of the book focuses on compute shaders. This book walks through several examples of WebGPU usage. It also: Discusses the classes and functions defined in the WebGPU API and shows how they’re used in practice Explains the theory of graphical rendering and shows how to implement rendering inside a web application Examines the theory of neural networks (machine learning) and shows how to create a web application that trains and executes a neural network
The Webgpu Sourcebook
Author: Matthew Scarpino
Publisher:
ISBN: 9781032728407
Category : Computers
Languages : en
Pages : 0
Book Description
This explains how to code web applications that use WebGPU to access the client's graphics processing unit (GPU). This makes it possible to render graphics at high-speed in a browser and perform computationally-intensive tasks such as machine learning.
Publisher:
ISBN: 9781032728407
Category : Computers
Languages : en
Pages : 0
Book Description
This explains how to code web applications that use WebGPU to access the client's graphics processing unit (GPU). This makes it possible to render graphics at high-speed in a browser and perform computationally-intensive tasks such as machine learning.
Practical WebGPU Graphics
Author: Jack Xu
Publisher: UniCAD
ISBN:
Category : Computers
Languages : en
Pages : 445
Book Description
WebGPU is the next-generation graphics API and future web standard for graphics and compute, aiming to provide modern 3D graphics and computation capabilities with the GPU acceleration. This book provides all the tools you need to help you create advanced 3D graphics and GPU computing on the web with this new WebGPU API. The book starts by taking you through the WebPack-TypeScript template for building the WebGPU apps and then shows you the WebGPU basics, shader program, GPU buffer, and rendering pipeline. Next, you will learn how to create primitives and simple objects in WebGPU. As you progress through the chapters, you will get to grips with advanced WebGPU topics, including 3D transformation, lighting calculation, colormaps, and textures. At the same time, you will learn how to create advanced 3D WebGPU objects, including various 3D wireframes, 3D shapes, simple and parametric 3D surfaces with colormaps and textures, as well as 3D surface plots and fractal graphics described by complex functions. In addition, you will explore new WebGPU features, such as compute shader and storage buffer, and how to use them to simulate large particle systems. By the end of this book, you will have the skill you need to build your own GPU-accelerated graphics and computing on the web with the WebGPU API. The book includes: - Template based on WebPack and TypeScript for developing WebGPU apps. - WebGPU basics, GLSL and WGSL shaders, and rendering pipeline. - Create primitives and simple shapes in WebGPU. - 3D transformations, model, viewing, projection, and various coordinate systems. - GPU buffers, uniform buffer objects, animation, and camera controls. - Normal vectors, lighting model, ambient, diffuse, and specular light calculations. - UV coordinates, texture mapping.- Color model, colormaps, and color interpolation. - Create 3D shapes, wireframes, surfaces, and 3D charts. - Create 3D plots and fractal graphics using complex functions. - Compute shaders, storage buffers, and large particle system simulation.
Publisher: UniCAD
ISBN:
Category : Computers
Languages : en
Pages : 445
Book Description
WebGPU is the next-generation graphics API and future web standard for graphics and compute, aiming to provide modern 3D graphics and computation capabilities with the GPU acceleration. This book provides all the tools you need to help you create advanced 3D graphics and GPU computing on the web with this new WebGPU API. The book starts by taking you through the WebPack-TypeScript template for building the WebGPU apps and then shows you the WebGPU basics, shader program, GPU buffer, and rendering pipeline. Next, you will learn how to create primitives and simple objects in WebGPU. As you progress through the chapters, you will get to grips with advanced WebGPU topics, including 3D transformation, lighting calculation, colormaps, and textures. At the same time, you will learn how to create advanced 3D WebGPU objects, including various 3D wireframes, 3D shapes, simple and parametric 3D surfaces with colormaps and textures, as well as 3D surface plots and fractal graphics described by complex functions. In addition, you will explore new WebGPU features, such as compute shader and storage buffer, and how to use them to simulate large particle systems. By the end of this book, you will have the skill you need to build your own GPU-accelerated graphics and computing on the web with the WebGPU API. The book includes: - Template based on WebPack and TypeScript for developing WebGPU apps. - WebGPU basics, GLSL and WGSL shaders, and rendering pipeline. - Create primitives and simple shapes in WebGPU. - 3D transformations, model, viewing, projection, and various coordinate systems. - GPU buffers, uniform buffer objects, animation, and camera controls. - Normal vectors, lighting model, ambient, diffuse, and specular light calculations. - UV coordinates, texture mapping.- Color model, colormaps, and color interpolation. - Create 3D shapes, wireframes, surfaces, and 3D charts. - Create 3D plots and fractal graphics using complex functions. - Compute shaders, storage buffers, and large particle system simulation.
Make an Arduino-Controlled Drawbot
Author: Shawn Wallace
Publisher: Make Books
ISBN: 9781449330385
Category : Computers
Languages : en
Pages : 100
Book Description
This book describes how to build and program an Arduino-controlled machine for drawing algorithmic compositions on walls with a marker. The mechanism consists of two stepper motors with spools attached; the motors are attached to either side of the drawing area and a marker is suspended between them attached to fishing line. The motors pull the marker along the wall; with a little trigonometry you can draw straight lines, circles, or Bezier curves. The book builds up a library of drawing elements that can be combined to draw almost anything. The book accompanies a kit available in the Maker Shed, or all the parts can be sourced separately from common parts.
Publisher: Make Books
ISBN: 9781449330385
Category : Computers
Languages : en
Pages : 100
Book Description
This book describes how to build and program an Arduino-controlled machine for drawing algorithmic compositions on walls with a marker. The mechanism consists of two stepper motors with spools attached; the motors are attached to either side of the drawing area and a marker is suspended between them attached to fishing line. The motors pull the marker along the wall; with a little trigonometry you can draw straight lines, circles, or Bezier curves. The book builds up a library of drawing elements that can be combined to draw almost anything. The book accompanies a kit available in the Maker Shed, or all the parts can be sourced separately from common parts.
The Social Studio
Author: Grace McQuilten
Publisher:
ISBN: 9781922129703
Category : Art
Languages : en
Pages : 224
Book Description
The Social Studio: Fashion, Food, Art & Community celebrates Melbourne's multicultural community of artists, foodies and fashionistas through the lens of The Social Studio, a vibrant community enterprise in Collingwood. The Studio is a fashion label, digital printing studio, shop and cafe that creates awareness, transforms public perceptions and generates employment and educational pathways for new migrant communities. Through fashion, food, art and community the Studio unites distinct cultures in a celebration of knowledge, skill and diversity. The book includes a mix of artworks, fashion photography, food, interviews and portraits of more than 50 of Melbourne's most dynamic artists, designers, stylists and musicians. By showcasing the diverse array of talented and creative people involved, the book also documents the creation and evolution of the Studio since it began its journey in 2009, and charts its impact on Melbourne's artistic and cultural landscape. The Editor:The Editor, Dr Grace McQuilten, is a Vice-Chancellor's Research Fellow at the Centre for Art, Society & Transformation, School of Art , RMIT University . She is the founder and a Board Member
Publisher:
ISBN: 9781922129703
Category : Art
Languages : en
Pages : 224
Book Description
The Social Studio: Fashion, Food, Art & Community celebrates Melbourne's multicultural community of artists, foodies and fashionistas through the lens of The Social Studio, a vibrant community enterprise in Collingwood. The Studio is a fashion label, digital printing studio, shop and cafe that creates awareness, transforms public perceptions and generates employment and educational pathways for new migrant communities. Through fashion, food, art and community the Studio unites distinct cultures in a celebration of knowledge, skill and diversity. The book includes a mix of artworks, fashion photography, food, interviews and portraits of more than 50 of Melbourne's most dynamic artists, designers, stylists and musicians. By showcasing the diverse array of talented and creative people involved, the book also documents the creation and evolution of the Studio since it began its journey in 2009, and charts its impact on Melbourne's artistic and cultural landscape. The Editor:The Editor, Dr Grace McQuilten, is a Vice-Chancellor's Research Fellow at the Centre for Art, Society & Transformation, School of Art , RMIT University . She is the founder and a Board Member
Learning Three.js – the JavaScript 3D Library for WebGL - Second Edition
Author: Jos Dirksen
Publisher: Packt Publishing Ltd
ISBN: 1784391026
Category : Computers
Languages : en
Pages : 422
Book Description
If you know JavaScript and want to start creating 3D graphics that run in any browser, this book is a great choice for you. You don't need to know anything about math or WebGL; all that you need is general knowledge of JavaScript and HTML.
Publisher: Packt Publishing Ltd
ISBN: 1784391026
Category : Computers
Languages : en
Pages : 422
Book Description
If you know JavaScript and want to start creating 3D graphics that run in any browser, this book is a great choice for you. You don't need to know anything about math or WebGL; all that you need is general knowledge of JavaScript and HTML.
Learning Three.js
Author: Jos Dirksen
Publisher:
ISBN: 9781784392215
Category : Application software
Languages : en
Pages : 0
Book Description
If you know JavaScript and want to start creating 3D graphics that run in any browser, this book is a great choice for you. You don't need to know anything about math or WebGL; all that you need is general knowledge of JavaScript and HTML.
Publisher:
ISBN: 9781784392215
Category : Application software
Languages : en
Pages : 0
Book Description
If you know JavaScript and want to start creating 3D graphics that run in any browser, this book is a great choice for you. You don't need to know anything about math or WebGL; all that you need is general knowledge of JavaScript and HTML.
TensorFlow For Dummies
Author: Matthew Scarpino
Publisher: John Wiley & Sons
ISBN: 1119466210
Category : Computers
Languages : en
Pages : 368
Book Description
Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning—all without ever losing your cool! Machine learning has become ubiquitous in modern society, and its applications include language translation, robotics, handwriting analysis, financial prediction, and image recognition. TensorFlow is Google's preeminent toolset for machine learning, and this hands-on guide makes it easy to understand, even for those without a background in artificial intelligence. Install TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with TensorBoard Perform image recognition with convolutional neural networks (CNNs) Analyze sequential data with recurrent neural networks (RNNs) Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP) If you’re a manager or software developer looking to use TensorFlow for machine learning, this is the book you’ll want to have close by.
Publisher: John Wiley & Sons
ISBN: 1119466210
Category : Computers
Languages : en
Pages : 368
Book Description
Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning—all without ever losing your cool! Machine learning has become ubiquitous in modern society, and its applications include language translation, robotics, handwriting analysis, financial prediction, and image recognition. TensorFlow is Google's preeminent toolset for machine learning, and this hands-on guide makes it easy to understand, even for those without a background in artificial intelligence. Install TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with TensorBoard Perform image recognition with convolutional neural networks (CNNs) Analyze sequential data with recurrent neural networks (RNNs) Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP) If you’re a manager or software developer looking to use TensorFlow for machine learning, this is the book you’ll want to have close by.
Programming the Cell Processor
Author: Matthew Scarpino
Publisher: Pearson Education
ISBN: 0132712865
Category : Computers
Languages : en
Pages : 909
Book Description
Make the Most of IBM’s Breakthrough Cell Processor in Any Gaming, Graphics, or Scientific Application IBM’s Cell processor delivers truly stunning computational power: enough to satisfy even the most demanding gamers and graphics developers. That’s why Sony chose the Cell to drive its breakthrough PlayStation 3 and why Cell processors are at the heart of today’s most powerful supercomputers. But many developers have struggled to create high-performance Cell applications: the practical, coherent information they need simply hasn’t existed. Programming the Cell Processor solves that problem once and for all. Whether you’re a game developer, graphics programmer, or engineer, Matthew Scarpino shows you how to create applications that leverage all the Cell’s extraordinary power. Scarpino covers everything from the Cell’s advanced architecture to its powerful tools and libraries, presenting realistic code examples that help you gain an increasingly deep and intuitive understanding of Cell development. Scarpino illuminates each of the Cell’s most important technical innovations, introduces the commands needed to access its power, and walks you through the entire development process, including compiling, linking, debugging, and simulating code. He also offers start-to-finish case studies for three especially important Cell applications: games, graphics, and scientific computing. The Cell platform offers unprecedented potential, and this book will help you make the most of it.
Publisher: Pearson Education
ISBN: 0132712865
Category : Computers
Languages : en
Pages : 909
Book Description
Make the Most of IBM’s Breakthrough Cell Processor in Any Gaming, Graphics, or Scientific Application IBM’s Cell processor delivers truly stunning computational power: enough to satisfy even the most demanding gamers and graphics developers. That’s why Sony chose the Cell to drive its breakthrough PlayStation 3 and why Cell processors are at the heart of today’s most powerful supercomputers. But many developers have struggled to create high-performance Cell applications: the practical, coherent information they need simply hasn’t existed. Programming the Cell Processor solves that problem once and for all. Whether you’re a game developer, graphics programmer, or engineer, Matthew Scarpino shows you how to create applications that leverage all the Cell’s extraordinary power. Scarpino covers everything from the Cell’s advanced architecture to its powerful tools and libraries, presenting realistic code examples that help you gain an increasingly deep and intuitive understanding of Cell development. Scarpino illuminates each of the Cell’s most important technical innovations, introduces the commands needed to access its power, and walks you through the entire development process, including compiling, linking, debugging, and simulating code. He also offers start-to-finish case studies for three especially important Cell applications: games, graphics, and scientific computing. The Cell platform offers unprecedented potential, and this book will help you make the most of it.
Hands-On Python Deep Learning for the Web
Author: Anubhav Singh
Publisher: Packt Publishing Ltd
ISBN: 1789953790
Category : Computers
Languages : en
Pages : 390
Book Description
Use the power of deep learning with Python to build and deploy intelligent web applications Key FeaturesCreate next-generation intelligent web applications using Python libraries such as Flask and DjangoImplement deep learning algorithms and techniques for performing smart web automationIntegrate neural network architectures to create powerful full-stack web applicationsBook Description When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python. Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages. By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices. What you will learnExplore deep learning models and implement them in your browserDesign a smart web-based client using Django and FlaskWork with different Python-based APIs for performing deep learning tasksImplement popular neural network models with TensorFlow.jsDesign and build deep web services on the cloud using deep learningGet familiar with the standard workflow of taking deep learning models into productionWho this book is for This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you’re a web developer who wants to implement smart techniques in the browser to make it more interactive. Working knowledge of the Python programming language and basic machine learning techniques will be beneficial.
Publisher: Packt Publishing Ltd
ISBN: 1789953790
Category : Computers
Languages : en
Pages : 390
Book Description
Use the power of deep learning with Python to build and deploy intelligent web applications Key FeaturesCreate next-generation intelligent web applications using Python libraries such as Flask and DjangoImplement deep learning algorithms and techniques for performing smart web automationIntegrate neural network architectures to create powerful full-stack web applicationsBook Description When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python. Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages. By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices. What you will learnExplore deep learning models and implement them in your browserDesign a smart web-based client using Django and FlaskWork with different Python-based APIs for performing deep learning tasksImplement popular neural network models with TensorFlow.jsDesign and build deep web services on the cloud using deep learningGet familiar with the standard workflow of taking deep learning models into productionWho this book is for This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you’re a web developer who wants to implement smart techniques in the browser to make it more interactive. Working knowledge of the Python programming language and basic machine learning techniques will be beneficial.