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Python Deep Learning Projects

You're reading from   Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788997096
Length 472 pages
Edition 1st Edition
Languages
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Authors (3):
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Rahul Kumar Rahul Kumar
Author Profile Icon Rahul Kumar
Rahul Kumar
Matthew Lamons Matthew Lamons
Author Profile Icon Matthew Lamons
Matthew Lamons
Abhishek Nagaraja Abhishek Nagaraja
Author Profile Icon Abhishek Nagaraja
Abhishek Nagaraja
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Toc

Table of Contents (17) Chapters Close

Preface 1. Building Deep Learning Environments FREE CHAPTER 2. Training NN for Prediction Using Regression 3. Word Representation Using word2vec 4. Building an NLP Pipeline for Building Chatbots 5. Sequence-to-Sequence Models for Building Chatbots 6. Generative Language Model for Content Creation 7. Building Speech Recognition with DeepSpeech2 8. Handwritten Digits Classification Using ConvNets 9. Object Detection Using OpenCV and TensorFlow 10. Building Face Recognition Using FaceNet 11. Automated Image Captioning 12. Pose Estimation on 3D models Using ConvNets 13. Image Translation Using GANs for Style Transfer 14. Develop an Autonomous Agent with Deep R Learning 15. Summary and Next Steps in Your Deep Learning Career 16. Other Books You May Enjoy

Building Face Recognition Using FaceNet

In the previous chapter, we learned how to detect objects in an image. In this chapter, we will look into a specific use case of object detectionface recognition. Face recognition is a combination of two major operations: face detection, followed by face classification.

The (hypothetical) client that provides our business use case for us in this project is a high-performance computing data center Tier III, certified for sustainability. They have designed the facility to meet the very highest standards for protection against natural disasters, with many redundant systems.

The facility currently has ultra-high security protocols in place to prevent malicious, man-made disasters, and they are looking to augment their security profile with facial recognition for access to secure areas throughout the facility.

The stakes are high, as...

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