Machine Learning Projects for Mobile Applications
Build Android and iOS applications using TensorFlow Lite and Core ML
Published on 23. September 2024
246 pages
978-1-78899-846-8 (ISBN)
Description
No detailed description available for "Machine Learning Projects for Mobile Applications".
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Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
35,06 MB
ISBN-13
978-1-78899-846-8 (9781788998468)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Additional editions
Karthikeyan NG
Machine Learning Projects for Mobile Applications
Build Android and iOS applications using TensorFlow Lite and Core ML
Book
10/2018
Packt Publishing
€50.70
Shipment within 3-4 weeks
Person
NG Karthikeyan :
Karthikeyan NG is the Head of Engineering and Technology at the Indian lifestyle and fashion retail brand. He served as a software engineer at Symantec Corporation and has worked with 2 US-based startups as an early employee and has built various products. He has 9+ years of experience in various scalable products using Web, Mobile, ML, AR, and VR technologies. He is an aspiring entrepreneur and technology evangelist. His interests lie in exploring new technologies and innovative ideas to resolve a problem. He has also bagged prizes from more than 15 hackathons, is a TEDx speaker and a speaker at technology conferences and meetups as well as guest lecturer at a Bengaluru University. When not at work, he is found trekking.
Karthikeyan NG is the Head of Engineering and Technology at the Indian lifestyle and fashion retail brand. He served as a software engineer at Symantec Corporation and has worked with 2 US-based startups as an early employee and has built various products. He has 9+ years of experience in various scalable products using Web, Mobile, ML, AR, and VR technologies. He is an aspiring entrepreneur and technology evangelist. His interests lie in exploring new technologies and innovative ideas to resolve a problem. He has also bagged prizes from more than 15 hackathons, is a TEDx speaker and a speaker at technology conferences and meetups as well as guest lecturer at a Bengaluru University. When not at work, he is found trekking.
Content
Table of Contents
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?
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?
