October 2018
Intermediate to advanced
246 pages
6h 26m
English
Overview
Discover the fascinating world of machine learning on mobile devices with 'Machine Learning Projects for Mobile Applications.' This book takes you through hands-on projects using TensorFlow Lite and Core ML, empowering you to develop Android and iOS apps that utilize advanced machine learning capabilities such as image classification, text detection, and augmented reality effects.
What this Book will help me do
- Build a mobile app to classify age and gender with TensorFlow Lite and Core ML.
- Implement a neural style transfer application using deep CNNs.
- Develop a food classification model with TensorFlow Lite for iOS.
- Explore Google's ML Kit for text, face detection, and barcode scanning.
- Create engaging AR experiences with face filters using OpenCV.
Author(s)
None NG is an innovative author dedicated to making complex technical concepts understandable and practical. Bringing expertise in machine learning and mobile application development, None NG focuses on hands-on examples and project-based learning to equip readers with the skills and knowledge for real-world applications.
Who is it for?
This book is perfect for data scientists, machine learning practitioners, and AI enthusiasts looking to expand their expertise into mobile applications. Readers should have a basic understanding of Python and an interest in practical, project-based learning to fit this book's approach. It's ideal for those eager to implement diverse machine learning projects with real-world applicability, especially on Android and iOS platforms.
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