Singh / Bhadani Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
1. Auflage 2020
ISBN: 978-1-78961-399-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 380 Seiten

No detailed description available for "Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter".

Autoren/Hrsg.

Singh, Anubhav

Bhadani, Rimjhim

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Introduction to Deep Learning for Mobile
- Mobile Vision: Face Detection using on-device models
- Chatbot using Actions on Google
- Recognizing Plant Species
- Live Captions Generation of Camera Feed
- Building Artificial Intelligence Authentication System
- Speech/Multimedia Processing: Generating music using AI
- Reinforced Neural Network based Chess Engine
- Building Image Super-Resolution Application
- Road Ahead
- Appendix

Über Autor(innen)

Singh Anubhav:
Anubhav Singh, a web developer since before Bootstrap was launched, is an explorer of technologies, often pulling off crazy combinations of uncommon tech. An international rank holder in the Cyber Olympiad, he started off by developing his own social network and search engine as his first projects at the age of 15, which stood among the top 500 websites of India during their operational years. He's continuously developing software for the community in domains with roads less walked on. You can often catch him guiding students on how to approach ML or the web, or both together. He's also the founder of The Code Foundation, an AI-focused start-up. Anubhav is a Venkat Panchapakesan Memorial Scholarship awardee and an Intel Software Innovator.Bhadani Rimjhim:
Rimjhim Bhadani is an open source lover. She has always believed in making the resources accessible to everyone at a minimal cost. She is a big fan of Mobile Application Development and has developed a number of projects most which aim to solve major and minor daily life challenges. She has been an Android mentor in Google Code-In and an Android developer for Google Summer of Code. Supporting her vision to serve the community, she is one among the six Indian students to be recognized as Google Venkat Panchapakesan Memorial Scholar and one among the three Indian students to be awarded the Grace Hopper Student Scholarship in 2019.