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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

Creating a real-time face recognition program

We have finally come to the most important part of the project. We are going to put together the code that we have written so far to create a real-time face recognition program. This program will use the webcam in our computer for facial recognition, and to authenticate whether the person sitting in front of the webcam is indeed you.

To do so, the program needs to do the following:

  1. Train a Siamese neural network for facial recognition (this has already been done in the previous section).
  2. Use the webcam to capture a true image of the authorized user. This is the onboarding process of the facial recognition system.
  3. Subsequently, when a user wants to unlock the program, use the pre-trained Siamese neural network from Step 1 and the true image from Step 2 to authenticate the user.
This part of the project requires a webcam (either the...
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