NG Machine Learning Projects for Mobile Applications

Build Android and iOS applications using TensorFlow Lite and Core ML
1. Auflage 2018
ISBN: 978-1-78899-846-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 246 Seiten

No detailed description available for "Machine Learning Projects for Mobile Applications".

Autoren/Hrsg.

NG, Karthikeyan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

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?

Über Autor(innen)

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.