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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

Questions

  1. How is face detection different than face recognition?

The objective of face detection is to locate human faces in an image. The output from the face detection process is a bounding box around detected faces. On the other hand, the objective of face recognition is to classify faces (that is, identify subjects). Face detection and face recognition are the two key steps in every facial recognition system, and the output from the face detection step is passed as input to the face recognition step.

  1. What is the Viola-Jones algorithm for face detection?

The Viola-Jones algorithm uses Haar features for face detection. Haar features are filters with alternating dark and bright areas that represents the contrast in pixel intensity in human faces. For example, the eye area in an image of a human face has a darker pixel value than the forehead and the cheeks areas. These...

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