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You're reading from  Neural Network Projects with Python

Product typeBook
Published inFeb 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789138900
Edition1st Edition
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Author (1)
James Loy
James Loy
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James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
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Summary

In this chapter, we created a face recognition system based on a Siamese neural network. The face recognition system uses a webcam to stream frames from a live video to a pre-trained Siamese neural network, and using a true image of the user, the system is able to authenticate the user in front of the webcam.

We first dissected the face recognition problem into smaller subproblems, and we saw how a face recognition system first performs a face detection step to isolate the face from the rest of the image, before the actual face recognition step. We saw how face detection is commonly done by the Viola-Jones algorithm, which uses Haar features to detect faces in real time. Face detection using Haar filters is implemented in Python via the OpenCV library, which allows us to perform face detection in just a few lines of code.

We then focused on face recognition, and we discussed...

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Neural Network Projects with Python
Published in: Feb 2019Publisher: PacktISBN-13: 9781789138900

Author (1)

author image
James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
Read more about James Loy