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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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Creating a TensorFlow image recognition model

TensorFlow is an open source software library for data flow programming across a range of tasks. It is a symbolic math library and is also used for machine learning applications, such as neural networks. It is used for both research and production at Google, often replacing its closed source predecessor, DistBelief. TensorFlow was developed by the Google Brain team for internal Google use. It was released under the Apache 2.0 open source license on November 9, 2015.

TensorFlow is cross-platform. It runs on nearly everything: GPUs and CPUs–including mobile and embedded platforms–and even tensor processing units (TPUs), which are specialized hardware for performing tensor math.

What does TensorFlow do?

To keep it simple, let's assume you want two numbers. Now, if you want to write a program in a regular programming language, such as Python, you would use the following:

a = 1

b = 2

print(a+b)

If you run the program, you will see the output as 3, and then...

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Machine Learning for Mobile
Published in: Dec 2018Publisher: PacktISBN-13: 9781788629355
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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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