Mobile Deep Learning With Tensorflow Lite Ml Kit And Flutter

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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Anubhav Singh,Rimjhim Bhadani
Mobile Deep Learning with TensorFlow Lite ML Kit and Flutter Book PDF

Author : Anubhav Singh,Rimjhim Bhadani
Publisher : Packt Publishing Ltd
Page : 372 pages
File Size : 42,6 Mb
Release : 2020-04-06
Category : Computers
ISBN : 9781789613995

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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter by Anubhav Singh,Rimjhim Bhadani Pdf

Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key FeaturesWork through projects covering mobile vision, style transfer, speech processing, and multimedia processingCover interesting deep learning solutions for mobileBuild your confidence in training models, performance tuning, memory optimization, and neural network deployment through every projectBook Description Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android. What you will learnCreate your own customized chatbot by extending the functionality of Google AssistantImprove learning accuracy with the help of features available on mobile devicesPerform visual recognition tasks using image processingUse augmented reality to generate captions for a camera feedAuthenticate users and create a mechanism to identify rare and suspicious user interactionsDevelop a chess engine based on deep reinforcement learningExplore the concepts and methods involved in rolling out production-ready deep learning iOS and Android applicationsWho this book is for This book is for data scientists, deep learning and computer vision engineers, and natural language processing (NLP) engineers who want to build smart mobile apps using deep learning methods. You will also find this book useful if you want to improve your mobile app’s user interface (UI) by harnessing the potential of deep learning. Basic knowledge of neural networks and coding experience in Python will be beneficial to get started with this book.

Hands-On Python Deep Learning for the Web

Anubhav Singh,Sayak Paul
Hands On Python Deep Learning for the Web Book PDF

Author : Anubhav Singh,Sayak Paul
Publisher : Packt Publishing Ltd
Page : 390 pages
File Size : 52,6 Mb
Release : 2020-05-15
Category : Computers
ISBN : 9781789953794

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Hands-On Python Deep Learning for the Web by Anubhav Singh,Sayak Paul Pdf

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.

Hands-On Artificial Intelligence for Android

Vasco Correia Veloso
Hands On Artificial Intelligence for Android Book PDF

Author : Vasco Correia Veloso
Publisher : BPB Publications
Page : 427 pages
File Size : 40,7 Mb
Release : 2022-01-27
Category : Computers
ISBN : 9789355510242

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Hands-On Artificial Intelligence for Android by Vasco Correia Veloso Pdf

Build machine learning models and train them to make Android applications much smarter. KEY FEATURES ● Learn by doing, training, and evaluating your own machine learning models. ● Includes pre-trained TensorFlow models for image processing. ● Explains practical use cases of artificial intelligence in Android. DESCRIPTION This book features techniques and real implementations of machine learning applications on Android phones. This book covers various developer tools, including TensorFlow and Google ML Kit. The book begins with a quick review of android application development fundamentals and a couple of Java and Kotlin implementations developed using the Android Studio integrated development environment. The book explores TensorFlow Lite and Google ML Kit, along with some of the most widely used machine learning techniques. The book covers real projects on TensorFlow, demonstrates how to collect photos with Camera X, and preprocess them with the Google ML Kit. It explains how to onboard the power of machine learning in Android applications that detect images, identify faces, and apply effects to photographs, among other things. These applications are constructed on top of TensorFlow models – some of which were created and trained by the reader – and then converted to TensorFlow Lite for mobile applications. After reading the book, the reader will be able to apply machine learning techniques to create Android applications and take their applications to the next level. This book can be a successful tool to deep dive into Data Science for all mobile programmers. WHAT YOU WILL LEARN ● Get well-versed with Android Development and the fundamentals of AI. ● Learn to set up the ML environment with hands-on knowledge of TensorFlow. ● Build, train, and evaluate Machine Learning models. ● Practice ML by working on real face verification and identification applications. ● Explore cutting-edge models such as GAN and RNN in detail. ● Experience the use of CameraX, SQLite, and Google ML Kit on Android. WHO THIS BOOK IS FOR This book is intended for android developers, application engineers, machine learning engineers, and anybody interested in infusing intelligent, inventive, and smart features into mobile phones. Readers should have a basic understanding of the Java programming language. TABLE OF CONTENTS 1. Building an Application with Android Studio and Java 2. Event Handling and Intents in Android 3. Building our Base Application with Kotlin and SQLite 4. An Overview of Artificial Intelligence and Machine Learning 5. Introduction to TensorFlow 6. Training a Model for Image Recognition with TensorFlow 7. Android Camera Image Capture with CameraX 8. Using the Image Recognition Model in an Android Application 9. Detecting Faces with the Google ML Kit 10. Verifying Faces in Android with TensorFlow Lite 11. Registering Faces in the Application 12. Image Processing with Generative Adversarial Networks 13. Describing Images with NLP

Flutter for Beginners

Alessandro Biessek
Flutter for Beginners Book PDF

Author : Alessandro Biessek
Publisher : Packt Publishing Ltd
Page : 498 pages
File Size : 45,6 Mb
Release : 2019-09-12
Category : Computers
ISBN : 9781788990523

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Flutter for Beginners by Alessandro Biessek Pdf

A step-by-step guide to learning Flutter and Dart 2 for creating Android and iOS mobile applications Key FeaturesGet up to speed with the basics of Dart programming and delve into Flutter developmentUnderstand native SDK and third-party libraries for building Android and iOS applications using FlutterPackage and deploy your Flutter apps to achieve native-like performanceBook Description Google Flutter is a cross-platform mobile framework that makes it easy to write high-performance apps for Android and iOS. This book will help you get to grips with the basics of the Flutter framework and the Dart programming language. Starting from setting up your development environment, you’ll learn to design the UI and add user input functions. You'll explore the navigator widget to manage app routes and learn to add transitions between screens. The book will even guide you through developing your own plugin and later, you’ll discover how to structure good plugin code. Using the Google Places API, you'll also understand how to display a map in the app and add markers and interactions to it. You’ll then learn to improve the user experience with features such as map integrations, platform-specific code with native languages, and personalized animation options for designing intuitive UIs. The book follows a practical approach and gives you access to all relevant code files hosted at github.com/PacktPublishing/Flutter-for-Beginners. This will help you access a variety of examples and prepare your own bug-free apps, ready to deploy on the App Store and Google Play Store. By the end of this book, you’ll be well-versed with Dart programming and have the skills to develop your own mobile apps or build a career as a Dart and Flutter app developer. What you will learnUnderstand the fundamentals of the Dart programming languageExplore the core concepts of the Flutter UI and how it compiles for multiple platformsDevelop Flutter plugins and widgets and understand how to structure plugin code appropriatelyStyle your Android and iOS apps with widgets and learn the difference between stateful and stateless widgetsAdd animation to your UI using Flutter's AnimatedBuilder componentIntegrate your native code into your Flutter codebase for native app performanceWho this book is for This book is for developers looking to learn Google's revolutionary framework Flutter from scratch. No prior knowledge of Flutter or Dart is required; however, basic knowledge of any programming language will be helpful.

Machine Learning Projects for Mobile Applications

Karthikeyan NG
Machine Learning Projects for Mobile Applications Book PDF

Author : Karthikeyan NG
Publisher : Packt Publishing Ltd
Page : 246 pages
File Size : 45,6 Mb
Release : 2018-10-31
Category : Computers
ISBN : 9781788998468

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Machine Learning Projects for Mobile Applications by Karthikeyan NG Pdf

Bring magic to your mobile apps using TensorFlow Lite and Core ML Key FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook Description Machine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so. The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google’s ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, compare its performance, and analyze the results on both mobile and cloud using TensorFlow Lite with an RCNN. By the end of this book, you will not only have mastered the concepts of machine learning but also learned how to resolve problems faced while building powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML. What you will learnDemystify the machine learning landscape on mobileAge and gender detection using TensorFlow Lite and Core MLUse ML Kit for Firebase for in-text detection, face detection, and barcode scanningCreate a digit classifier using adversarial learningBuild a cross-platform application with face filters using OpenCVClassify food using deep CNNs and TensorFlow Lite on iOS Who this book is for Machine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage.

Machine Learning by Tutorials (Second Edition)

raywenderlich Tutorial Team,Alexis Gallagher,Matthijs Hollemans,Audrey Tam,Chris LaPollo
Machine Learning by Tutorials Second Edition Book PDF

Author : raywenderlich Tutorial Team,Alexis Gallagher,Matthijs Hollemans,Audrey Tam,Chris LaPollo
Publisher : Unknown
Page : 128 pages
File Size : 52,6 Mb
Release : 2020-05-19
Category : Electronic
ISBN : 1942878931

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Machine Learning by Tutorials (Second Edition) by raywenderlich Tutorial Team,Alexis Gallagher,Matthijs Hollemans,Audrey Tam,Chris LaPollo Pdf

Learn Machine Learning!Machine learning is one of those topics that can be daunting at first blush. It's not clear where to start, what path someone should take and what APIs to learn in order to get started teaching machines how to learn.This is where Machine Learning by Tutorials comes in! In this book, we'll hold your hand through a number of tutorials, to get you started in the world of machine learning. We'll cover a wide range of popular topics in the field of machine learning, while developing apps that work on iOS devices.Who This Book Is ForThis books is for the intermediate iOS developer who already knows the basics of iOS and Swift development, but wants to understand how machine learning works.Topics covered in Machine Learning by TutorialsCoreML: Learn how to add a machine learning model to your iOS apps, and how to use iOS APIs to access it.Create ML: Learn how to create your own model using Apple's Create ML Tool.Turi Create and Keras: Learn how to tune parameters to improve your machine learning model using more advanced tools.Image Classification: Learn how to apply machine learning models to predict objects in an image.Convolutional Networks: Learn advanced machine learning techniques for predicting objects in an image with Convolutional Neural Networks (CNNs).Sequence Classification: Learn how you can use recurrent neural networks (RNNs) to classify motion from an iPhone's motion sensor.Text-to-text Transform: Learn how to use machine learning to convert bodies of text between two languages.By the end of this book, you'll have a firm understanding of what machine learning is, what it can and cannot do, and how you can use machine learning in your next app!

Flutter Recipes

Fu Cheng
Flutter Recipes Book PDF

Author : Fu Cheng
Publisher : Apress
Page : 550 pages
File Size : 50,6 Mb
Release : 2019-10-10
Category : Computers
ISBN : 9781484249826

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Flutter Recipes by Fu Cheng Pdf

Take advantage of this comprehensive reference to solving common problems when developing with Flutter. Along with an introduction to the basic concepts of Flutter development, the recipes in this book cover all important aspects of this emerging technology, including development, testing, debugging, performance tuning, app publishing, and continuous integration. Although Flutter presents a rich, cross-platform mobile development framework, helpful documentation is not easily found. Here you’ll review solutions to various scenarios and use creative, tested ways to accomplish everything from simple to complex development tasks. Flutter is developed using Dart and contains a unique technology stack that sets it apart from its competitors. This book takes the mystery out of working with the Dart language and integrating Flutter into your already existing workflows and development projects. With Flutter Recipes, you’ll learn how to build and deploy apps freshly started in Flutter, as well as apps already in progress, while side-stepping any potential roadblocks you may face along the way. What You'll Learn Debug with Dart Observatory Program accessibility and localization features Build and release apps for iOS and Android Incorporate reactive programming Who This Book Is For Mobile developers with some experience in other frameworks who would like to work with the growing and popular Flutter.

Practical Deep Learning for Cloud, Mobile, and Edge

Anirudh Koul,Siddha Ganju,Meher Kasam
Practical Deep Learning for Cloud Mobile and Edge Book PDF

Author : Anirudh Koul,Siddha Ganju,Meher Kasam
Publisher : "O'Reilly Media, Inc."
Page : 585 pages
File Size : 54,8 Mb
Release : 2019-10-14
Category : Computers
ISBN : 9781492034810

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Practical Deep Learning for Cloud, Mobile, and Edge by Anirudh Koul,Siddha Ganju,Meher Kasam Pdf

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

Machine Learning with TensorFlow, Second Edition

Mattmann A. Chris
Machine Learning with TensorFlow Second Edition Book PDF

Author : Mattmann A. Chris
Publisher : Manning Publications
Page : 454 pages
File Size : 49,7 Mb
Release : 2021-02-02
Category : Computers
ISBN : 9781617297717

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Machine Learning with TensorFlow, Second Edition by Mattmann A. Chris Pdf

Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data, so results get better over time. You don’t have to be a mathematician to use ML: Tools like Google’s TensorFlow library help with complex calculations so you can focus on getting the answers you need. About the book Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10. What's inside Machine Learning with TensorFlow Choosing the best ML approaches Visualizing algorithms with TensorBoard Sharing results with collaborators Running models in Docker About the reader Requires intermediate Python skills and knowledge of general algebraic concepts like vectors and matrices. Examples use the super-stable 1.15.x branch of TensorFlow and TensorFlow 2.x. About the author Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas. Table of Contents PART 1 - YOUR MACHINE-LEARNING RIG 1 A machine-learning odyssey 2 TensorFlow essentials PART 2 - CORE LEARNING ALGORITHMS 3 Linear regression and beyond 4 Using regression for call-center volume prediction 5 A gentle introduction to classification 6 Sentiment classification: Large movie-review dataset 7 Automatically clustering data 8 Inferring user activity from Android accelerometer data 9 Hidden Markov models 10 Part-of-speech tagging and word-sense disambiguation PART 3 - THE NEURAL NETWORK PARADIGM 11 A peek into autoencoders 12 Applying autoencoders: The CIFAR-10 image dataset 13 Reinforcement learning 14 Convolutional neural networks 15 Building a real-world CNN: VGG-Face ad VGG-Face Lite 16 Recurrent neural networks 17 LSTMs and automatic speech recognition 18 Sequence-to-sequence models for chatbots 19 Utility landscape

AI and Machine Learning for On-Device Development

Laurence Moroney
AI and Machine Learning for On Device Development Book PDF

Author : Laurence Moroney
Publisher : "O'Reilly Media, Inc."
Page : 329 pages
File Size : 50,7 Mb
Release : 2021-08-12
Category : Computers
ISBN : 9781098101718

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AI and Machine Learning for On-Device Development by Laurence Moroney Pdf

Chapter 2. Introduction to Computer Vision -- Using Neurons for Vision -- Your First Classifier: Recognizing Clothing Items -- The Data: Fashion MNIST -- A Model Architecture to Parse Fashion MNIST -- Coding the Fashion MNIST Model -- Transfer Learning for Computer Vision -- Summary -- Chapter 3. Introduction to ML Kit -- Building a Face Detection App on Android -- Step 1: Create the App with Android Studio -- Step 2: Add and Configure ML Kit -- Step 3: Define the User Interface -- Step 4: Add the Images as Assets -- Step 5: Load the UI with a Default Picture.

Information Science and Applications

Kuinam J. Kim,Hye-Young Kim
Information Science and Applications Book PDF

Author : Kuinam J. Kim,Hye-Young Kim
Publisher : Springer Nature
Page : 700 pages
File Size : 48,9 Mb
Release : 2019-12-18
Category : Technology & Engineering
ISBN : 9789811514654

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Information Science and Applications by Kuinam J. Kim,Hye-Young Kim Pdf

This book presents selected papers from the 10th International Conference on Information Science and Applications (ICISA 2019), held on December 16–18, 2019, in Seoul, Korea, and provides a snapshot of the latest issues regarding technical convergence and convergences of security technologies. It explores how information science is at the core of most current research as well as industrial and commercial activities. The respective chapters cover a broad range of topics, including ubiquitous computing, networks and information systems, multimedia and visualization, middleware and operating systems, security and privacy, data mining and artificial intelligence, software engineering and web technology, as well as applications and problems related to technology convergence, which are reviewed and illustrated with the aid of case studies. Researchers in academia, industry, and at institutes focusing on information science and technology will gain a deeper understanding of the current state of the art in information strategies and technologies for convergence security. ​

Dart for Absolute Beginners

David Kopec
Dart for Absolute Beginners Book PDF

Author : David Kopec
Publisher : Apress
Page : 320 pages
File Size : 42,6 Mb
Release : 2014-06-30
Category : Computers
ISBN : 9781430264828

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Dart for Absolute Beginners by David Kopec Pdf

Dart for Absolute Beginners enables individuals with no background in programming to create their own web apps while learning the fundamentals of software development in a cutting edge language. Easily digested chapters, while comprehensive enough to explore the whole domain, are aimed at both hobbyists and professionals alike. The reader will not only gain an insight into Dart, but also the technologies behind the web. A firm foundation is laid for further programming studies. Dart is a new, innovative language developed by Google which is poised to take the web by storm. For client side web app development, Dart has many advantages over JavaScript. These include but are not limited to: improved speed, enforcement of programmatic structure, and improved facilities for software reuse. Best of all, Dart is automatically converted to JavaScript so that it works with all web browsers. Dart is a fresh start, without the baggage of the last two decades of the web. Why start learning to program with yesterday’s technology? Teaches you the fundamentals of programming and the technologies behind the web. Utilizes the cutting edge, easy to learn, structured Dart programming language so that your first steps are pointed towards the future of web development. No prior knowledge is required to begin developing your own web apps.

Open Agile Architecture™

A publication of The Open Group
Open Agile Architecture Book PDF

Author : A publication of The Open Group
Publisher : Van Haren
Page : 217 pages
File Size : 45,5 Mb
Release : 2020-12-15
Category : Education
ISBN : 9789401807265

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Open Agile Architecture™ by A publication of The Open Group Pdf

Open Agile Architecture™, a standard of The Open Group, offers an approach to architect at scale with agility. It provides guidance and best practices for Enterprise Architects seeking to transition into Agile and Digital contexts. Empowering an Enterprise to Succeed with its Digital-Agile Transformation Agile teams drive the enterprise’s Digital Transformation by inventing new business models, delivering superior customer experiences, developing digital products, and architecting highly-automated operating systems. The Open Agile Architecture Standard was designed keeping the needs of all business stakeholders in mind: Business Leaders – to drive the enterprise’s Digital and Agile change journey Enterprise Architects – to extend their scope of influence in an Agile at scale world Product Managers – to help transform customer experience, innovate products, and generate growth Product Owners – to accelerate their transformation from managing feature backlogs to steering value delivery Operations Managers – to enable them to leverage Lean and automation to generate sustainable competitive advantages Software Engineers – to leverage the power of digital technologies to co-innovate with the business The more Agile the enterprise, the faster the learning cycles, and faster learning cycles translate to shorter time-to-market resulting in more agility. By adopting an Open Agile Architecture approach, your organization can capitalize on this accelerated learning cycle, meaning your Agile and Digital capabilities continuously and simultaneously co-create one another.

Flutter Cookbook

Simone Alessandria,Brian Kayfitz
Flutter Cookbook Book PDF

Author : Simone Alessandria,Brian Kayfitz
Publisher : Packt Publishing Ltd
Page : 639 pages
File Size : 52,7 Mb
Release : 2021-06-18
Category : Computers
ISBN : 9781838827373

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Flutter Cookbook by Simone Alessandria,Brian Kayfitz Pdf

Discover how to build, scale, and debug native iOS and Android applications from a single codebase using the Dart programming language – a hands-on approach Key FeaturesWork through practical recipes for building mobile applications with FlutterQuickly build and iterate on your user interface (UI) with hot reloadFix bugs and prevent them from reappearing using Flutter's developer tools and test suitesBook Description “Anyone interested in developing Flutter applications for Android or iOS should have a copy of this book on their desk.” – Amazon 5* Review Lauded as the ‘Flutter bible’ for new and experienced mobile app developers, this recipe-based guide will teach you the best practices for robust app development, as well as how to solve cross-platform development issues. From setting up and customizing your development environment to error handling and debugging, The Flutter Cookbook covers the how-tos as well as the principles behind them. As you progress, the recipes in this book will get you up to speed with the main tasks involved in app development, such as user interface and user experience (UI/UX) design, API design, and creating animations. Later chapters will focus on routing, retrieving data from web services, and persisting data locally. A dedicated section also covers Firebase and its machine learning capabilities. The last chapter is specifically designed to help you create apps for the web and desktop (Windows, Mac, and Linux). Throughout the book, you’ll also find recipes that cover the most important features needed to build a cross-platform application, along with insights into running a single codebase on different platforms. By the end of this Flutter book, you’ll be writing and delivering fully functional apps with confidence. What you will learnUse Dart programming to customize your Flutter applicationsDiscover how to develop and think like a Dart programmerLeverage Firebase Machine Learning capabilities to create intelligent appsCreate reusable architecture that can be applied to any type of appUse web services and persist data locallyDebug and solve problems before users can see themUse asynchronous programming with Future and StreamManage the app state with Streams and the BLoC pattern Who this book is for If you’re familiar with the basic concepts of programming and have your eyes set on developing mobile apps using Dart, then this book is for you. As a beginner, you’ll benefit from the clear and concise step-by-step recipes, while a more experienced programmer will learn best practices and find useful tips. You’ll get the most out of this book if you have experience coding in either JavaScript, Swift, Kotlin, Java, Objective-C, or C#.

Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems

Shubhakar Kalya,Muralidhar Kulkarni,K. S. Shivaprakasha
Advances in VLSI Signal Processing Power Electronics IoT Communication and Embedded Systems Book PDF

Author : Shubhakar Kalya,Muralidhar Kulkarni,K. S. Shivaprakasha
Publisher : Springer Nature
Page : 457 pages
File Size : 51,9 Mb
Release : 2021-04-10
Category : Technology & Engineering
ISBN : 9789811604430

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Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems by Shubhakar Kalya,Muralidhar Kulkarni,K. S. Shivaprakasha Pdf

This book comprises select peer-reviewed papers from the International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems (VSPICE-2020). The book provides insights into various aspects of the emerging fields in the areas Electronics and Communication Engineering as a holistic approach. The various topics covered in this book include VLSI, embedded systems, signal processing, communication, power electronics and internet of things. This book mainly focuses on the most recent innovations, trends, concerns and practical challenges and their solutions. This book will be useful for academicians, professionals and researchers in the area of electronics and communications and electrical engineering.