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Machine Learning for Mobile

You're reading from   Machine Learning for Mobile Practical guide to building intelligent mobile applications powered by machine learning

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788629355
Length 274 pages
Edition 1st Edition
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Authors (2):
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Avinash Venkateswarlu Avinash Venkateswarlu
Author Profile Icon Avinash Venkateswarlu
Avinash Venkateswarlu
Revathi Gopalakrishnan Revathi Gopalakrishnan
Author Profile Icon Revathi Gopalakrishnan
Revathi Gopalakrishnan
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Machine Learning on Mobile FREE CHAPTER 2. Supervised and Unsupervised Learning Algorithms 3. Random Forest on iOS 4. TensorFlow Mobile in Android 5. Regression Using Core ML in iOS 6. The ML Kit SDK 7. Spam Message Detection 8. Fritz 9. Neural Networks on Mobile 10. Mobile Application Using Google Vision 11. The Future of ML on Mobile Applications 12. Question and Answers 13. Other Books You May Enjoy

Introduction to neural networks


A neural network is a system of hardware and/or software that is modeled on the operation of neurons in the human brain. The design behind neural networks is inspired by the human brain and its functionality. Let's understand the design of the human brain. The neuron is the basic working unit of the brain. It's a specialized cell that can transmit information to other nerve cells. The brain is made up of approximately 100,000,000,000 neurons. A neuron's main function is to process and transmit information.

Communication steps of  a neuron

Neuron communication follows a four-step path:

  • A neuron receives information from the external environment or from other neurons.
  • The neuron integrates, or processes, the information from all of its input and determines whether to send an output signal. This integration takes place both in time (the duration of the input and the time between input) and space (across the surface of the neuron).
  • The neuron propagates the signal...
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