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Machine Learning with Core ML
book

Machine Learning with Core ML

by Joshua Newnham
June 2018
Intermediate to advanced content levelIntermediate to advanced
378 pages
8h 43m
English
Packt Publishing
Content preview from Machine Learning with Core ML

Classifying pixels 

As we have already discussed, the desired output of a model performing semantic segmentation is an image with each of its pixels assigned a label of its most likely class (or even a specific instance of a class). Throughout this book, we have also seen that layers of a deep neural network learn features that are activated when a corresponding input that satisfies the particular feature is detected. We can visualize these activations using a technique called class activation maps (CAMs). The output produces a heatmap of class activations over the input image; the heatmap consists of a matrix of scores associated with a specific class, essentially giving us a spatial map of how intensely the input region activates a specified ...

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Publisher Resources

ISBN: 9781788838290Supplemental Content