February 2019
Intermediate to advanced
260 pages
6h 3m
English
Content preview from Hands-On Java Deep Learning for Computer Vision
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Similarity function
The high-level solution to the problems is through the similarity function, which states the following:
- d(face_1, face_2): Degree of difference between images
- d(face_1, face_2) <
: Means same face else, not same
This means, instead of trying to learn to recognize a specific person's face, what if we learn a function, d, which measures how similar or different two images are. If the function were to return a value smaller than a constant, such as gamma, then we say this is the same face or the same image. Otherwise, we say, they are different.
Suppose on the left we have the employee's faces, and on the right there is a ...
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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.