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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter - Build scalable real-world projects to implement end-to-end neural networks on Android and iOS (Paperback)
Loot Price: R1,180
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter - Build scalable real-world projects to implement end-to-end neural networks on Android and iOS (Paperback)
Expected to ship within 10 - 15 working days
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Learn how to deploy effective deep learning solutions on
cross-platform applications built using TensorFlow Lite, ML Kit,
and Flutter Key Features Work through projects covering mobile
vision, style transfer, speech processing, and multimedia
processing Cover interesting deep learning solutions for mobile
Build your confidence in training models, performance tuning,
memory optimization, and neural network deployment through every
project Book DescriptionDeep 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 learn Create your own
customized chatbot by extending the functionality of Google
Assistant Improve learning accuracy with the help of features
available on mobile devices Perform visual recognition tasks using
image processing Use augmented reality to generate captions for a
camera feed Authenticate users and create a mechanism to identify
rare and suspicious user interactions Develop a chess engine based
on deep reinforcement learning Explore the concepts and methods
involved in rolling out production-ready deep learning iOS and
Android applications Who this book is forThis 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.
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