May 2016
Intermediate to advanced
432 pages
11h 16m
English
Content preview from Machine Learning For Dummies
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Chapter 19
Classifying Images
IN THIS CHAPTER
Handling images with Python
Obtaining features from an image
Using image information to detect features from faces
Performing image classification tasks on images of faces
Among the five senses, sight is certainly the most powerful in conveying knowledge and information derived from the world outside. Many people feel that the gift of sight helps children know about the different things and persons around them. In addition, humans receive and transmit knowledge across time by means of pictures, visual arts, and textual documents. This chapter helps you understand how Python can help your computer interact with images.
Because sight is so important and precious, it’s similarly invaluable for a machine learning algorithm because sight opens the algorithm to new capabilities. Most information today is available in digital form (text, music, photos, and videos), yet, being able to read visual information in a binary format doesn’t help you to understand it and to use it properly. In recent years, one of the more important uses of vision in machine learning is to classify images for all sorts of reasons. This chapter helps you discover techniques for obtaining image features for use in machine learning tasks.
For example, robots need to know which objects they should avoid and which objects they need to work with, yet without image classification, the task is impossible. Humans also rely on image classification to perform tasks such as ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.