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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

Implementing a Facial Recognition System with Neural Networks

In this chapter, we will implement a facial recognition system using a Siamese neural network. Such facial recognition systems are prevalent in smartphones and other smart security systems in modern buildings and facilities. We will go through the theory behind Siamese neural networks, and why facial recognition problems are a special class of problems in image recognition, making it difficult for a conventional convolutional neural networks (CNNs) to solve them. We will train and implement a robust model that can recognize faces, even when the subject has different expressions and when the photo is taken from different angles. Finally, we will write our own program that uses the pre-trained neural network and a webcam, to authenticate the user sitting in front of the computer.

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