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You're reading from  Machine Learning for Mobile

Product typeBook
Published inDec 2018
PublisherPackt
ISBN-139781788629355
Edition1st Edition
Tools
AndroidTensorFlow
Concepts
Machine Learning
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Authors (2):
Revathi Gopalakrishnan
Revathi Gopalakrishnan
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Revathi Gopalakrishnan

Revathi Gopalakrishnan is a software professional with more than 17 years of experience in the IT industry. She has worked extensively in mobile application development and has played various roles, including developer and architect, and has led various enterprise mobile enablement initiatives for large organizations. She has also worked on a host of consumer applications for various customers around the globe. She has an interest in emerging areas, and machine learning is one of them. Through this book, she has tried to bring out how machine learning can make mobile application development more interesting and super cool. Revathi resides in Chennai and enjoys her weekends with her husband and her two lovely daughters.
Read more about Revathi Gopalakrishnan

Avinash Venkateswarlu
Avinash Venkateswarlu
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Avinash Venkateswarlu

Avinash Venkateswarlu has more than 3 years' experience in IT and is currently exploring mobile machine learning. He has worked in enterprise mobile enablement projects and is interested in emerging technologies such as mobile machine learning and cryptocurrency. Venkateswarlu works in Chennai, but enjoys spending his weekends in his home town, Nellore. He likes to do farming or yoga when he is not in front of his laptop exploring emerging technologies.
Read more about Avinash Venkateswarlu

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Key ML mobile applications 

In this section, we will look at some of the most popular mobile applications and understand what they are doing in the field of mobile ML.

Facebook

Facebook has developed an AI platform, Caffe2Go. Through this toolset, Facebook initially wanted to provide enriched AI and AR experiences to users. They are enabling users to process videos and images through on-device ML and perform certain tasks without having to transmit these videos and images to the backend for complex image and video processing. Their style transfer toolkit enables users to take the artistic qualities of one image style, and apply it to other images and videos.

Google Maps

Google has introduced TensorFlow Lite as well as ML Kit that enables users to perform mobile ML in mobile applications. Google Maps from Google is a classic example of ML on mobile.

Snapchat

Snapchat is innovating on complex ML algorithms that are able to perceive facial features on an image captured by the camera. These algorithms...

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Machine Learning for Mobile
Published in: Dec 2018Publisher: PacktISBN-13: 9781788629355
© 2018 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Revathi Gopalakrishnan

Revathi Gopalakrishnan is a software professional with more than 17 years of experience in the IT industry. She has worked extensively in mobile application development and has played various roles, including developer and architect, and has led various enterprise mobile enablement initiatives for large organizations. She has also worked on a host of consumer applications for various customers around the globe. She has an interest in emerging areas, and machine learning is one of them. Through this book, she has tried to bring out how machine learning can make mobile application development more interesting and super cool. Revathi resides in Chennai and enjoys her weekends with her husband and her two lovely daughters.
Read more about Revathi Gopalakrishnan

author image
Avinash Venkateswarlu

Avinash Venkateswarlu has more than 3 years' experience in IT and is currently exploring mobile machine learning. He has worked in enterprise mobile enablement projects and is interested in emerging technologies such as mobile machine learning and cryptocurrency. Venkateswarlu works in Chennai, but enjoys spending his weekends in his home town, Nellore. He likes to do farming or yoga when he is not in front of his laptop exploring emerging technologies.
Read more about Avinash Venkateswarlu

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