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

Author:   Anubhav Singh ,  Rimjhim Bhadani
Publisher:   Packt Publishing Limited
ISBN:  

9781789611212


Pages:   380
Publication Date:   06 April 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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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


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Author:   Anubhav Singh ,  Rimjhim Bhadani
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789611212


ISBN 10:   1789611210
Pages:   380
Publication Date:   06 April 2020
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

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

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Author Information

Anubhav Singh is the Founder of The Code Foundation, an AI-focused startup which works on multimedia processing and natural language processing, with a goal of making AI accessible to everyone. An International Rank holder in the Cyber Olympiad, he's continuously developing software for the community in domains with roads less walked by. Anubhav is a Venkat Panchapakesan Memorial Scholarship awardee and an Intel Software Innovator. Anubhav loves talking about his learnings and is an active community speaker for Google Developer Groups all over the country and can often be found guiding learners on their journey in machine learning. 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.

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