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Neural Network Projects with Python

You're reading from   Neural Network Projects with Python The ultimate guide to using Python to explore the true power of neural networks through six projects

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789138900
Length 308 pages
Edition 1st Edition
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Author (1):
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James Loy James Loy
Author Profile Icon James Loy
James Loy
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Table of Contents (10) Chapters Close

Preface 1. Machine Learning and Neural Networks 101 FREE CHAPTER 2. Predicting Diabetes with Multilayer Perceptrons 3. Predicting Taxi Fares with Deep Feedforward Networks 4. Cats Versus Dogs - Image Classification Using CNNs 5. Removing Noise from Images Using Autoencoders 6. Sentiment Analysis of Movie Reviews Using LSTM 7. Implementing a Facial Recognition System with Neural Networks 8. What's Next? 9. Other Books You May Enjoy

Requirements of face recognition systems

At this point, you should be fairly familiar with using neural networks for image recognition tasks. In Chapter 4, Cats Versus Dogs – Image Classification Using CNNs, we built a CNN for classifying images of cats versus dogs. Can the same techniques be used in facial recognition? Sadly, CNNs fall short for this task. To understand why, we need to look at the requirements of facial recognition systems.

Speed

The first requirement of a facial recognition system is that they need to be fast. If we look at the onboarding process of the facial recognition systems in our smartphones, we usually need to use the front-facing camera in the phone to scan our face at various angles for...

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