Machine Learning For Ios Core Ml And Create Ml
DOWNLOAD
Download Machine Learning For Ios Core Ml And Create Ml PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning For Ios Core Ml And Create Ml book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Mastering Machine Learning With Core Ml And Python
DOWNLOAD
Author : Vardhan Agrawal
language : en
Publisher: AppCoda
Release Date : 2020-08-13
Mastering Machine Learning With Core Ml And Python written by Vardhan Agrawal and has been published by AppCoda this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-13 with Computers categories.
Machine learning, now more than ever, plays a pivotal role in almost everything we do in our digital lives. Whether it’s interacting with a virtual assistant like Siri or typing out a message to a friend, machine learning is the technology facilitating those actions. It’s clear that machine learning is here to stay, and as such, it’s a vital skill to have in the upcoming decades. This book covers Core ML in-depth. You will learn how to create and deploy your own machine learning model. On top of that, you will learn about Turi Create, Create ML, Keras, Firebase, and Jupyter Notebooks, just to name a few. These are a few examples of professional tools which are staples for many machine learning experts. By going through this book, you’ll also become proficient with Python, the language that’s most frequently used for machine learning. Plus, you would have created a handful of ready-to-use apps such as barcode scanners, image classifiers, and language translators. Most importantly, you will master the ins-and-outs of Core ML.
Machine Learning For Ios Core Ml And Create Ml
DOWNLOAD
Author : Emmanuel Henri
language : en
Publisher:
Release Date : 2020
Machine Learning For Ios Core Ml And Create Ml written by Emmanuel Henri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Want to incorporate machine learning into your iOS app? With the Core ML SDK and the Create ML app from Apple, you can quickly start integrating machine learning features into your projects. In this course, Emmanuel Henri covers the basics of machine learning, as well as how to work with Core ML and Create ML to add machine learning models to your apps. Emmanuel covers the different parts of the Core ML SDK, how to set up a new project using Create ML, and how to get input values into and test a model. He also steps through how to integrate your machine learning model into an iOS application and convert models from non-iOS sources.
Machine Learning With Core Ml
DOWNLOAD
Author : Joshua Newnham
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-28
Machine Learning With Core Ml written by Joshua Newnham 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 2018-06-28 with Computers categories.
Leverage the power of Apple's Core ML to create smart iOS apps Key Features Explore the concepts of machine learning and Apple’s Core ML APIs Use Core ML to understand and transform images and videos Exploit the power of using CNN and RNN in iOS applications Book Description Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you’ll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You’ll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you’ll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts. By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIs What you will learn Understand components of an ML project using algorithms, problems, and data Master Core ML by obtaining and importing machine learning model, and generate classes Prepare data for machine learning model and interpret results for optimized solutions Create and optimize custom layers for unsupported layers Apply CoreML to image and video data using CNN Learn the qualities of RNN to recognize sketches, and augment drawing Use Core ML transfer learning to execute style transfer on images Who this book is for Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers.
Machine Learning For Ios Developers
DOWNLOAD
Author : Abhishek Mishra
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-12
Machine Learning For Ios Developers written by Abhishek Mishra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-12 with Computers categories.
Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple iOS machine learning practitioner! Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple’s ML services, Machine Learning for iOS Developers is an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications. Assuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized into two sections, the book’s clearly-written chapters first cover fundamental ML concepts, the different types of ML systems, their practical uses, and the potential challenges of ML solutions. The second section teaches readers to use models—both pre-trained and user-built—with Apple’s CoreML framework. Source code examples are provided for readers to download and use in their own projects. This book helps readers: Understand the theoretical concepts and practical applications of machine learning used in predictive data analytics Build, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streaming Develop skills in data acquisition and modeling, classification, and regression. Compare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS) Implement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn & Keras models with CoreML Machine Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps.
Beginning Machine Learning In Ios
DOWNLOAD
Author : Mohit Thakkar
language : en
Publisher: Apress
Release Date : 2019-02-20
Beginning Machine Learning In Ios written by Mohit Thakkar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-20 with Computers categories.
Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products. Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to suggest which people that might be in a photo. You'll review how these types of machine learning tasks are implemented and performed so that you can use them in your own apps. Beginning Machine Learning in iOS is your guide to putting machine learning to work in your iOS applications. What You'll Learn Understand the CoreML components Train custom models Implement GPU processing for better computation efficiency Enable machine learning in your application Who This Book Is For Novice developers and programmers who wish to implement machine learning in their iOS applications and those who want to learn the fundamentals about machine learning.
Learn Ios Application Development
DOWNLOAD
Author : Rudra
language : en
Publisher: BPB Publications
Release Date : 2021-07-19
Learn Ios Application Development written by Rudra and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.
Explore the complex app development concepts for iOS application programming with fun and ease. KEY FEATURES ● In-depth knowledge with practical examples on how to develop professional iOS apps. ● Includes coverage on the entire iOS application development, right from designing the UI to application deployment. ● Get to know more about machine learning and augmented reality, and their impact on iOS apps. DESCRIPTION Grab this book if you want to make Apps for Apple’s iOS devices and that too efficiently like a skilled developer. This book covers the complete development of iOS applications, right from concepts of designing an application to adding machine learning capabilities in the applications. You will learn and practice the App development environment with Xcode and Swift programming. Concepts like different types of views and UI components, data manipulations, animations, different iOS screen views, and integrating web services are covered in detail with examples. You will also learn the popular machine learning technology and fascinating features like Augmented Reality to be put into use in your app. You will learn to run automated application testing, use SwiftUI, and deploy applications on the network. WHAT YOU WILL LEARN ● Build strong familiarity with the entire application development environment. ● Revive essential coding concepts and methods of Swift and Xcode. ● Simplify integration of iOS apps with web services, including JSON and XML decoding. ● Learn to work with iOS ARKit and add the experience of augmented reality to applications. ● Work with popular SwiftUI, XCTest, and a growing machine learning library, CoreML. WHO THIS BOOK IS FOR This book caters to mobile developers, application developers, and students who want to build sound proficiency in the entire process of iOS Application development. Knowing basic programming concepts would be good, although not mandatory. TABLE OF CONTENTS 1. iOS App Development Environment 2. Swift Programming Language 3. User Interface and Data Handling 4. Different Views in iOS Devices 5. Image and Animation 6. Multi-View Application and Navigation 7. Data Persistence for iOS Devices 8. Integration with Web Services 9. Augmented Reality 10. Machine Learning 11. App Testing and Deployment 12. SwiftUI
Ai And Machine Learning For On Device Development
DOWNLOAD
Author : Laurence Moroney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-08-12
Ai And Machine Learning For On Device Development written by Laurence Moroney and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-12 with Computers categories.
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.
Mastering Ios 18 Development
DOWNLOAD
Author : Avi Tsadok
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-08
Mastering Ios 18 Development written by Avi Tsadok 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 2024-11-08 with Computers categories.
Elevate your iOS development skills with this comprehensive iOS 18 guide covering the latest changes and improvements in iOS SDK and Swift, while mastering practical techniques to become an exceptional iOS developer Key Features Stay up to date with the latest changes and improvements in iOS SDK and Swift programming language Learn how you can improve user experience by focusing on customizing components and animations Get to grips with advanced topics such as SwiftData and high-efficiency applications through an in-depth discussion Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionEmbark on a comprehensive iOS 18 development journey with Avi Tsadok, a veteran iOS developer and author of 4 books and over 40 tutorials and articles. A recognized public speaker, Avi has a knack for demystifying complex concepts and brings unparalleled expertise to the forefront of iOS 18 development education. This guide focuses on iOS 18 advancements, equipping developers with tools to maximize its potential. This book covers essential topics for seasoned developers, including Swift, SwiftUI, Xcode foundations, and the latest iOS SDK updates. You’ll get to grips with optimizing performance and understanding advanced architectural paradigms. By implementing the newest iOS updates, you’ll also explore intricate animation methods and harness a new framework, SwiftData that replaces Core Data for having persistent storage. The book builds your proficiency in advanced networking with URLSession and shows you how to conjure stunning visuals and adopt sophisticated testing techniques. You'll explore the world of machine learning with Apple’s Core ML diving into built-in frameworks like NLP, vision, and sound analysis to train and integrate your own models into iOS apps. By the end of the book, you'll possess skills to build exceptional apps, excel in advanced roles, and confidently tackle iOS development challenges.What you will learn Develop functional iOS applications on the iOS platform Build intricate custom animations and UI elements Master data handling and persistence in iOS apps Utilize Combine for efficient data management Harness the power of the neural engine through CoreML Explore architectures and streamline programming with Swift Macros Improve engagement by adding Widgets and App Intents Who this book is for If you are an experienced iOS developer looking to enhance your mobile development skills, create exceptional applications, and excel in advanced positions, this book is designed for you. To derive maximum benefit from this book and ensure a strong understanding of the advanced content, it is recommended that you have a solid foundation in Swift, SwiftUI, and Xcode.
Deep Learning On Microcontrollers
DOWNLOAD
Author : Atul Krishna Gupta
language : en
Publisher: BPB Publications
Release Date : 2023-04-15
Deep Learning On Microcontrollers written by Atul Krishna Gupta and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-15 with Computers categories.
A step-by-step guide that will teach you how to deploy TinyML on microcontrollers KEY FEATURES ● Deploy machine learning models on edge devices with ease. ● Leverage pre-built AI models and deploy them without writing any code. ● Create smart and efficient IoT solutions with TinyML. DESCRIPTION TinyML, or Tiny Machine Learning, is used to enable machine learning on resource-constrained devices, such as microcontrollers and embedded systems. If you want to leverage these low-cost, low-power but strangely powerful devices, then this book is for you. This book aims to increase accessibility to TinyML applications, particularly for professionals who lack the resources or expertise to develop and deploy them on microcontroller-based boards. The book starts by giving a brief introduction to Artificial Intelligence, including classical methods for solving complex problems. It also familiarizes you with the different ML model development and deployment tools, libraries, and frameworks suitable for embedded devices and microcontrollers. The book will then help you build an Air gesture digit recognition system using the Arduino Nano RP2040 board and an AI project for recognizing keywords using the Syntiant TinyML board. Lastly, the book summarizes the concepts covered and provides a brief introduction to topics such as zero-shot learning, one-shot learning, federated learning, and MLOps. By the end of the book, you will be able to develop and deploy end-to-end Tiny ML solutions with ease. WHAT YOU WILL LEARN ● Learn how to build a Keyword recognition system using the Syntiant TinyML board. ● Learn how to build an air gesture digit recognition system using the Arduino Nano RP2040. ● Learn how to test and deploy models on Edge Impulse and Arduino IDE. ● Get tips to enhance system-level performance. ● Explore different real-world use cases of TinyML across various industries. WHO THIS BOOK IS FOR The book is for IoT developers, System engineers, Software engineers, Hardware engineers, and professionals who are interested in integrating AI into their work. This book is a valuable resource for Engineering undergraduates who are interested in learning about microcontrollers and IoT devices but may not know where to begin. TABLE OF CONTENTS 1. Introduction to AI 2. Traditional ML Lifecycle 3. TinyML Hardware and Software Platforms 4. End-to-End TinyML Deployment Phases 5. Real World Use Cases 6. Practical Experiments with TinyML 7. Advance Implementation with TinyML Board 8. Continuous Improvement 9. Conclusion
Mastering Ios 12 Programming
DOWNLOAD
Author : Donny Wals
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-31
Mastering Ios 12 Programming written by Donny Wals 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 2018-10-31 with Computers categories.
Become a professional iOS developer with the most in-depth and advanced guide to Swift, Xcode 10, ARKit, and Core ML Key FeaturesExplore the extensive world of iOS development through practical examplesGain detailed insights into core iOS programming concepts such as app extensions and performanceExtend your iOS apps by adding augmented reality and machine learning capabilitiesBook Description The iOS development environment has significantly matured, and with Apple users spending more money in the App Store, there are plenty of development opportunities for professional iOS developers. However, the journey to mastering iOS development and the new features of iOS 12 is not straightforward. This book will help you make that transition smoothly and easily. With the help of Swift 4.2, you’ll not only learn how to program for iOS 12, but also how to write efficient, readable, and maintainable Swift code that maintains industry best practices. Mastering iOS 12 Programming will help you build real-world applications and reflect the real-world development flow. You will also find a mix of thorough background information and practical examples, teaching you how to start implementing your newly gained knowledge. By the end of this book, you will have got to grips with building iOS applications that harness advanced techniques and make best use of the latest and greatest features available in iOS 12. What you will learnBuild a professional iOS application using Xcode 10 and Swift 4.2Use AutoLayout to create complex layouts that look great on every deviceDelve into advanced animations with UIViewPropertyAnimator and UIKit DynamicsEnhance your app by using instruments and building your own profiling toolsIntegrate iMessage, Siri, and more in your app through app extensionsTrain and use machine learning models with Core ML 2 and Create MLCreate engaging augmented reality experiences with ARKit 2Who this book is for If you’re a developer with some experience in iOS programming and want to enhance your skills by unlocking the full potential of the latest iOS version with Swift to build great applications, this book is for you.