Ima Cookbook
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The Ios 5 Developer S Cookbook
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Author : Erica Sadun
language : en
Publisher: Addison-Wesley
Release Date : 2012-02-22
The Ios 5 Developer S Cookbook written by Erica Sadun and has been published by Addison-Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-22 with Computers categories.
This title contains the standard edition of The iOS 5 Developer’s Cookbook PLUS nine additional chapters on advance content. If you already have the eBook edition of The iOS 5 Developer’s Cookbook, you can purchase The iOS 5 Developer’s Cookbook: The Additional Recipes (ISBN: 9780133028393), which only contains the extra chapters, at a low cost. In this expanded ebook, best-selling author and iOS development guru Erica Sadun brings together all the information you need to quickly start building successful iOS apps for iPhone, iPad, and iPod touch. Sadun has thoroughly revised her best-selling book to focus on powerful new iOS 5 features, APIs, and frameworks, the latest version of Objective-C, and Apple’s breakthrough Xcode 4 toolset. The iOS 5 Developer's Cookbook: Expanded Electronic Edition is packed with ready-made code solutions for the iOS 5 development challenges you’re most likely to face, eliminating trial-and-error and helping you build reliable apps from the very beginning. Sadun teaches each new concept and technique through robust code that is easy to reuse and extend. This isn't just cut-and-paste: Using her examples, Sadun fully explains both the “how” and “why” of effective iOS 5 development. Her tested recipes address virtually every major area of iOS development, from user interface design to view controllers, gestures, and touch to networking and security. This expanded ebook edition adds chapters on documents and data sharing; the Address Book; iCloud; Core Location and MapKit; Audio, Video, and MediaKit; Push Notifications; Accessibility; In-app purchasing with StoreKit; and GameKit. Whatever your iOS development experience, it will give you all the expert answers and reliable code you’ll need to jumpstart any iOS 5 project!
Latex Cookbook
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Author : Stefan Kottwitz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-10-28
Latex Cookbook written by Stefan Kottwitz and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-28 with Computers categories.
A pragmatic guide with actionable recipes on LaTex to apply for tuning text, custom designs, fonts, embedding images, tables, advanced mathematics, and graphics for all your complex documents Key Features Work with modern document classes, such as KOMA-Script classes Explore the latest LaTeX packages, including TikZ, pgfplots, and biblatex An example-driven approach to creating stunning graphics directly within LaTeX Book DescriptionLaTeX is a high-quality typesetting software and is very popular, especially among scientists. Its programming language gives you full control over every aspect of your documents, no matter how complex they are. LaTeX's huge amount of customizable templates and supporting packages cover most aspects of writing with embedded typographic expertise. With this book you will learn to leverage the capabilities of the latest document classes and explore the functionalities of the newest packages. The book starts with examples of common document types. It provides you with samples for tuning text design, using fonts, embedding images, and creating legible tables. Common document parts such as the bibliography, glossary, and index are covered, with LaTeX's modern approach.You will learn how to create excellent graphics directly within LaTeX, including diagrams and plots quickly and easily. Finally, you will discover how to use the new engines XeTeX and LuaTeX for advanced programming and calculating with LaTeX. The example-driven approach of this book is sure to increase your productivity.What you will learn Choose the right document class for your project to customize its features Utilize fonts globally and locally Frame, shape, arrange, and annotate images Add a bibliography, a glossary, and an index Create colorful graphics including diagrams, flow charts, bar charts, trees, plots in 2d and 3d, time lines, and mindmaps Solve typical tasks for various sciences including math, physics, chemistry, electrotechnics, and computer science Optimize PDF output and enrich it with meta data, annotations, popups, animations, and fillin fields Explore the outstanding capabilities of the newest engines and formats such as XeLaTeX, LuaLaTeX, and LaTeX3 Who this book is for If you already know the basics of LaTeX and you like to get fast, efficient solutions, this is the perfect book for you. If you are an advanced reader, you can use this book's example-driven format to take your skillset to the next level. Some familiarity with the basic syntax of LaTeX and how to use the editor of your choice for compiling is required.
Peta S Vegan College Cookbook
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Author : PETA
language : en
Publisher: Sourcebooks, Inc.
Release Date : 2016-04-05
Peta S Vegan College Cookbook written by PETA and has been published by Sourcebooks, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-05 with Cooking categories.
If you're a student on a budget, you can still have the simplest, tastiest vegan recipes ? and the best part is, the most complicated kitchenware you'll ever need is a microwave! PETA's Vegan College Cookbook is the essential companion for every veggie-loving student, packed with a diverse selection of 275 scrumptious recipes to keep you fueled and thriving throughout your academic journey. Stay True to Your Values: This cookbook is brought to you by PETA, the leading voice for animal rights and ethical treatment. With each recipe, you can rest assured that you're making a compassionate choice, supporting sustainability, and promoting a cruelty-free lifestyle. Easy, Quick & Hassle-Free: Crush your hunger pangs without spending hours in the kitchen! Our cookbook is tailored for busy college students with tight schedules. From no-fuss breakfasts to speedy lunches and delectable dinners, you'll discover a wealth of hassle-free recipes that fit right into your busy life. Budget-Friendly Delights: Eating vegan doesn't have to break the bank! We've handpicked 275 recipes that won't strain your wallet. With clever tips on ingredient substitutions and savvy shopping advice, you'll embrace a wallet-friendly vegan lifestyle without compromising on taste or quality. Nutrition-Packed Goodness: Nourish your body and mind with wholesome, nutrient-rich meals. Our recipes are designed to keep you energized and focused throughout your studies, ensuring you can excel academically while savoring mouthwatering flavors. Diverse and Delicious: Say goodbye to boring meals! PETA's Vegan College Cookbook brings you a diverse range of recipes spanning different cuisines and flavors. From comforting classics to innovative creations, there's something for every palate and occasion. Cooking for All Skill Levels: Whether you're a seasoned cook or a newbie in the kitchen, our cookbook offers clear, step-by-step instructions that anyone can follow. Boost your culinary skills and impress your friends with your newfound cooking prowess. Perfect for Dorms & Shared Spaces: We understand the challenges of dorm life. That's why our recipes are designed to be easily prepared with minimal kitchen equipment. Whether you have access to a full kitchen or just a microwave and mini-fridge, you'll find meals tailored to your unique situation. Recipes for All Meals: Enjoy a variety of breakfasts, lunches, dinners, snacks, and even satisfying desserts! Our cookbook ensures you'll never run out of ideas for your vegan meals, making sure you're well-fed and content throughout the day. Embrace a compassionate, sustainable, and delicious vegan lifestyle at college with PETA's Vegan College Cookbook. Praise for PETA's Vegan College Cookbook: "As a longtime vegan, I'm always looking for quick, easy, and yummy new recipes, so for me, PETA's Vegan College Cookbook was love at first bite." — Daniella Monet "Thanks to PETA's Vegan College Cookbook, you don't have to be a master in the kitchen to make yummy vegan food!" — Chef Chloe Coscarelli
Vulkan Cookbook
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Author : Pawel Lapinski
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-04-28
Vulkan Cookbook written by Pawel Lapinski and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-28 with Computers categories.
Work through recipes to unlock the full potential of the next generation graphics API—Vulkan Key Features 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 Book DescriptionVulkan 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.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 Implement geometry projection and tessellation, texturing, lighting, and post-processing techniques Write shaders in GLSL and convert them into SPIR-V assemblies 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.
Apache Spark Deep Learning Cookbook
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Author : Ahmed Sherif
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-13
Apache Spark Deep Learning Cookbook written by Ahmed Sherif and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-13 with Computers categories.
A solution-based guide to put your deep learning models into production with the power of Apache Spark Key Features Discover practical recipes for distributed deep learning with Apache Spark Learn to use libraries such as Keras and TensorFlow Solve problems in order to train your deep learning models on Apache Spark Book Description With deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tools with highly efficient deep learning libraries. As a result, this will help deep learning models train with higher efficiency and speed. With the help of the Apache Spark Deep Learning Cookbook, you’ll work through specific recipes to generate outcomes for deep learning algorithms, without getting bogged down in theory. From setting up Apache Spark for deep learning to implementing types of neural net, this book tackles both common and not so common problems to perform deep learning on a distributed environment. In addition to this, you’ll get access to deep learning code within Spark that can be reused to answer similar problems or tweaked to answer slightly different problems. You will also learn how to stream and cluster your data with Spark. Once you have got to grips with the basics, you’ll explore how to implement and deploy deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Spark, using popular libraries such as TensorFlow and Keras. By the end of the book, you'll have the expertise to train and deploy efficient deep learning models on Apache Spark. What you will learn Set up a fully functional Spark environment Understand practical machine learning and deep learning concepts Apply built-in machine learning libraries within Spark Explore libraries that are compatible with TensorFlow and Keras Explore NLP models such as Word2vec and TF-IDF on Spark Organize dataframes for deep learning evaluation Apply testing and training modeling to ensure accuracy Access readily available code that may be reusable Who this book is for If you’re looking for a practical and highly useful resource for implementing efficiently distributed deep learning models with Apache Spark, then the Apache Spark Deep Learning Cookbook is for you. Knowledge of the core machine learning concepts and a basic understanding of the Apache Spark framework is required to get the best out of this book. Additionally, some programming knowledge in Python is a plus.
Neural Networks With Keras Cookbook
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Author : V Kishore Ayyadevara
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Neural Networks With Keras Cookbook written by V Kishore Ayyadevara and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.
Implement neural network architectures by building them from scratch for multiple real-world applications. Key FeaturesFrom scratch, build multiple neural network architectures such as CNN, RNN, LSTM in KerasDiscover tips and tricks for designing a robust neural network to solve real-world problemsGraduate from understanding the working details of neural networks and master the art of fine-tuning themBook Description This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data. Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems. Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game. By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter. What you will learnBuild multiple advanced neural network architectures from scratchExplore transfer learning to perform object detection and classificationBuild self-driving car applications using instance and semantic segmentationUnderstand data encoding for image, text and recommender systemsImplement text analysis using sequence-to-sequence learningLeverage a combination of CNN and RNN to perform end-to-end learningBuild agents to play games using deep Q-learningWho this book is for This intermediate-level book targets beginners and intermediate-level machine learning practitioners and data scientists who have just started their journey with neural networks. This book is for those who are looking for resources to help them navigate through the various neural network architectures; you'll build multiple architectures, with concomitant case studies ordered by the complexity of the problem. A basic understanding of Python programming and a familiarity with basic machine learning are all you need to get started with this book.
Deep Learning With Mxnet Cookbook
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Author : Andrés P. Torres
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29
Deep Learning With Mxnet Cookbook written by Andrés P. Torres and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Computers categories.
Gain practical, recipe-based insights into the world of deep learning using Apache MXNet for flexible and efficient research prototyping, training, and deployment to production Key Features Create scalable deep learning applications using MXNet products with step-by-step tutorials Implement tasks such as transfer learning, transformers, and more with the required speed and scalability Analyze model performance and fine-tune for accuracy, scalability, and speed Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionExplore the capabilities of the open-source deep learning framework MXNet to train and deploy neural network models and implement state-of-the-art (SOTA) architectures in Computer Vision, natural language processing, and more. The Deep Learning with MXNet Cookbook is your gateway to constructing fast and scalable deep learning solutions using Apache MXNet. Starting with the different versions of MXNet, this book helps you choose the optimal version for your use and install your library. You’ll work with MXNet/Gluon libraries to solve classification and regression problems and gain insights into their inner workings. Venturing further, you’ll use MXNet to analyze toy datasets in the areas of numerical regression, data classification, picture classification, and text classification. From building and training deep-learning neural network architectures from scratch to delving into advanced concepts such as transfer learning, this book covers it all. You'll master the construction and deployment of neural network architectures, including CNN, RNN, LSTMs, and Transformers, and integrate these models into your applications. By the end of this deep learning book, you’ll wield the MXNet and Gluon libraries to expertly create and train deep learning networks using GPUs and deploy them in different environments.What you will learn Grasp the advantages of MXNet and Gluon libraries Build and train network models from scratch using MXNet Apply transfer learning for more complex, fine-tuned network architectures Address modern Computer Vision and NLP problems using neural network techniques Train state-of-the-art models with GPUs and leverage modern optimization techniques Improve inference run-times and deploy models in production Who this book is for This book is for data scientists, machine learning engineers, and developers who want to work with Apache MXNet for building fast and scalable deep learning solutions. Python programming knowledge and access to a working coding environment with Python 3.6+ is necessary to get started. Although not a prerequisite, a solid theoretical understanding of mathematics for deep learning will be beneficial.
Windows Presentation Foundation Development Cookbook
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Author : Kunal Chowdhury
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-23
Windows Presentation Foundation Development Cookbook written by Kunal Chowdhury and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-23 with Computers categories.
Gain comprehensive insight into WPF mechanics and capabilities. Key Features Gain a strong foundation in WPF features and patterns Leverage the MVVM pattern to build decoupled, maintainable apps Increase efficiency through Performance tuning and UI automation Book Description Windows Presentation Foundation (WPF) is Microsoft's development tool for building rich Windows client user experiences that incorporate UIs, media, and documents. With the updates in .NET 4.7, Visual Studio 2017, C# 7, and .NET Standard 2.0, WPF has taken giant strides and is now easier than ever for developers to use. If you want to get an in-depth view of WPF mechanics and capabilities, then this book is for you. The book begins by teaching you about the fundamentals of WPF and then quickly shows you the standard controls and the layout options. It teaches you about data bindings and how to utilize resources and the MVVM pattern to maintain a clean and reusable structure in your code. After this, you will explore the animation capabilities of WPF and see how they integrate with other mechanisms. Towards the end of the book, you will learn about WCF services and explore WPF's support for debugging and asynchronous operations. By the end of the book, you will have a deep understanding of WPF and will know how to build resilient applications. What you will learn Understand the fundamentals of WPF Explore the major controls and manage element layout Implement data binding Create custom elements that lead to a particular implementation path Customize controls, styles, and templates in XAML Leverage the MVVM pattern to maintain a clean and reusable structure in your code Master practical animations Integrate WCF services in a WPF application Implement WPFs support for debugging and asynchronous operations Who this book is for The book is intended for developers who are relatively new to WPF (Windows Presentation Foundation), or those who have been working with WPF for some time, but want to get a deeper understanding of its foundation and concepts to gain practical knowledge. Basic knowledge of C# and Visual Studio is assumed.
Opencv 3 Computer Vision Application Programming Cookbook
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Author : Robert Laganiere
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-02-09
Opencv 3 Computer Vision Application Programming Cookbook written by Robert Laganiere and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-09 with Computers categories.
Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3 About This Book Written to the latest, gold-standard specification of OpenCV 3 Master OpenCV, the open source library of the computer vision community Master fundamental concepts in computer vision and image processing Learn about the important classes and functions of OpenCV with complete working examples applied to real images Who This Book Is For OpenCV 3 Computer Vision Application Programming Cookbook Third Edition is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers who wish to be introduced to the concepts of computer vision programming. It can also be used as a companion book for university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision. What You Will Learn Install and create a program using the OpenCV library Process an image by manipulating its pixels Analyze an image using histograms Segment images into homogenous regions and extract meaningful objects Apply image filters to enhance image content Exploit the image geometry in order to relay different views of a pictured scene Calibrate the camera from different image observations Detect people and objects in images using machine learning techniques Reconstruct a 3D scene from images In Detail Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you'll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you'll also get acquainted with recent approaches in machine learning and object classification. Style and approach This book will arm you with the basics you need to start writing world-aware applications right from a pixel level all the way through to processing video sequences.
Python Image Processing Cookbook
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Author : Sandipan Dey
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-04-17
Python Image Processing Cookbook written by Sandipan Dey and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Computers categories.
Explore Keras, scikit-image, open source computer vision (OpenCV), Matplotlib, and a wide range of other Python tools and frameworks to solve real-world image processing problems Key FeaturesDiscover solutions to complex image processing tasks using Python tools such as scikit-image and KerasLearn popular concepts such as machine learning, deep learning, and neural networks for image processingExplore common and not-so-common challenges faced in image processingBook Description With the advancements in wireless devices and mobile technology, there's increasing demand for people with digital image processing skills in order to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of the relevant tools and algorithms, and guides you through analysis and visualization for image processing. With the help of over 60 cutting-edge recipes, you'll address common challenges in image processing and learn how to perform complex tasks such as object detection, image segmentation, and image reconstruction using large hybrid datasets. Dedicated sections will also take you through implementing various image enhancement and image restoration techniques, such as cartooning, gradient blending, and sparse dictionary learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this book will help you apply deep learning techniques such as transfer learning and fine-tuning to solve real-world problems. By the end of this book, you'll be proficient in utilizing the capabilities of the Python ecosystem to implement various image processing techniques effectively. What you will learnImplement supervised and unsupervised machine learning algorithms for image processingUse deep neural network models for advanced image processing tasksPerform image classification, object detection, and face recognitionApply image segmentation and registration techniques on medical images to assist doctorsUse classical image processing and deep learning methods for image restorationImplement text detection in images using Tesseract, the optical character recognition (OCR) engineUnderstand image enhancement techniques such as gradient blendingWho this book is for This book is for image processing engineers, computer vision engineers, software developers, machine learning engineers, or anyone who wants to become well-versed with image processing techniques and methods using a recipe-based approach. Although no image processing knowledge is expected, prior Python coding experience is necessary to understand key concepts covered in the book.