October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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CNN Based Age and Gender Identification Using Core ML
In this chapter, we are going to build an iOS application to detect the age, gender, and emotion of a person from the camera feed or from the user's photo gallery. We will use existing data models that were built for the same purpose using the Caffe machine learning (ML) library, and convert those models into Core ML models for the ease of use in our application. We will discuss more how Convolutional Neural Networks (CNNs) work in terms of predicting age, gender, and emotion with the sample application.
This application can be useful with multiple use cases. A few cases are as follows:
- Finding what kind of photos you capture by parsing all the photos from your gallery
- Understanding ...
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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.