Hua - Machine Learning with TensorFlow 1.x

BIRMINGHAM - MUMBAI

Copyright 2017 Packt Publishing

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First published: November 2017

Production reference: 1171117

ISBN 978-1-78646-296-1

www.packtpub.com

Quan Hua is a Computer Vision and Machine Learning Engineer at BodiData, a data platform for body measurements, where he focuses on developing computer vision and machine learning applications for a handheld technology capable of acquiring a body avatar while a person is fully clothed. He earned a bachelor of science degree from the University of Science, Vietnam, specializing in Computer Vision. He has been working in the field of computer vision and machine learning for about 3 years at start-ups.

Quan has been writing for Packt since 2015 for a Computer Vision book, OpenCV 3 Blueprints.

Shams Ul Azeem is an undergraduate in electrical engineering from NUST Islamabad, Pakistan . He has a great interest in the computer science field, and he started his journey with Android development. Now, hes pursuing his career in Machine Learning, particularly in deep learning, by doing medical-related freelancing projects with different companies.
He was also a member of the RISE lab, NUST, and he has a publication credit at the IEEE International Conference, ROBIO as a co-author of Designing of motions for humanoid goalkeeper robots.

Saif Ahmed is an accomplished quantitative analyst and data scientist with 15 years of industry experience. His career started in management consulting at Accenture and lead him to quantitative and senior management roles at Goldman Sachs and AIG Investments. Most recently, he co-founded and runs a start-up focused on applying Deep Learning to automating medical imaging. He obtained his bachelor's degree in computer science from Cornell University and is currently pursuing a graduate degree in data science at U.C. Berkeley.

Nathan Lintz is a Machine Learning researcher, focusing on text classification. When he began with Machine Learning, he primarily used Theano but quickly switched to TensorFlow when it was released. TensorFlow has greatly reduced the time it takes to build Machine Learning systems thanks to its intuitive and powerful neural network utilities.

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Machine Learning has revolutionized the modern world. Many m achine learning algorithms, especially deep learning, have been used worldwide, ranging from mobile devices to cloud-based services. TensorFlow is one of the leading open source software libraries and helps you build, train, and deploy your Machine Learning system for a variety of applications. This practical book is designed to bring you the best of TensorFlow and help you build real-world Machine Learning systems.