Mobile Deep Learning With Tensorflow Lite Ml Kit And Flutter

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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Author: Anubhav Singh
language: en
Publisher: Packt Publishing Ltd
Release Date: 2020-04-06
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.
Open Agile ArchitectureTM - A Standard of The Open Group

Open Agile ArchitectureTM, 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

Author: Simone Alessandria
language: en
Publisher: Packt Publishing Ltd
Release Date: 2021-06-18
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#.