April 2020
Intermediate to advanced
380 pages
9h 24m
English
Overview
This book provides a practical guide to implementing deep learning techniques in mobile app development using TensorFlow Lite, ML Kit, and Flutter. You will build hands-on projects including image recognition, creating chatbots, and augmenting user experience through AI-powered features.
What this Book will help me do
- Gain proficiency in deploying deep learning models on iOS and Android.
- Learn techniques to preprocess data and optimize models for mobile devices.
- Develop practical projects like a chatbot extending Google Assistant's functionality.
- Master mobile vision applications including image classification and face detection.
- Explore advanced topics like model quantization and resource-efficient deployment.
Author(s)
Anubhav Singh and None Bhadani specialize in deep learning technologies and mobile app development. Anubhav has authored several innovative technical solutions, applying state-of-the-art neural network technologies. None has extensive experience in creating scalable tech solutions blending AI and app development. Together, they bring a practical perspective to integrating advanced AI into mobile platforms.
Who is it for?
This book is ideal for software developers and data scientists with a basic understanding of neural networks who are looking to apply AI techniques to mobile applications. It is also valuable for mobile app developers aiming to enhance app functionality using TensorFlow and ML Kit. Readers with an interest in end-to-end model deployment for practical use cases will find it particularly useful.
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