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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 2. Predicting Diabetes with Multilayer Perceptrons FREE CHAPTER 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

Facial recognition systems

Facial recognition systems have become ubiquitous in our every lives. When the iPhone X was first unveiled in 2017, Apple boasted that their new state-of-the-art face ID system was able to instantaneously recognize and authenticate users with just a single glance. Driving this was the Apple A11 Bionic chip, which includes dedicated neural network hardware, allowing the iPhone to perform blazingly fast facial recognition and machine learning operations. Today, almost all smartphones have a facial recognition security system.

In 2016, Amazon started its first supermarket with advanced facial recognition capabilities, known as Amazon Go. Unlike traditional supermarkets, Amazon Go uses facial recognition to know when you first arrive at the supermarket and when you removed an item from the shelf. When you've finished shopping, you can simply walk out...

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