Machine Learning Projects for Mobile Applications
Machine learning on mobile devices is the next big thing. This book presents the implementation of 7 practical, real-world projects that will teach you how to leverage TensorFlow Lite and Core ML to perform efficient machine learning on a cross-platform mobile OS. You will get to work on image, text, and video datasets through these projects.
Offered by
Difficulty Level
Intermediate
Completion Time
8h12m
Language
English
About Book
Who Is This Book For?
Machine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage.
Machine Learning Projects for Mobile Applications
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 8h12m total length
Mobile Landscapes in Machine Learning
CNN Based Age and Gender Identification Using Core ML
Applying Neural Style Transfer on Photos
Deep Diving into the ML Kit with Firebase
A Snapchat-Like AR Filter on Android
Handwritten Digit Classifier Using Adversarial Learning
Face-Swapping with Your Friends Using OpenCV
Classifying Food Using Transfer Learning
What's Next?
Related Resources
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