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Machine Learning for Mobile
book

Machine Learning for Mobile

by Revathi Gopalakrishnan, Avinash Venkateswarlu
December 2018
Intermediate to advanced
274 pages
7h 46m
English
Packt Publishing
Content preview from Machine Learning for Mobile

Neural Networks on Mobile

In Chapter 2Supervised and Unsupervised Learning Algorithms, when we introduced you to TensorFlow, its components, and how it works, we talked briefly about convolutional neural networks (CNNsand how they work. In this chapter, we will delve into the basic concepts of neural networks. We will explore the similarities and variations between machine learning and neural networks.

We will also go through some of the challenges of executing deep learning algorithms on mobile devices. We will briefly go through the various deep learning and neural network SDKs available for mobile applications that can be run on mobile devices directly. Toward the end of this chapter, we will create an interesting assignment that will ...

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Publisher Resources

ISBN: 9781788629355