April 2020
Beginner to intermediate
156 pages
4h 47m
English
Content preview from Hands-On One-shot Learning with Python
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Contrastive loss function
The whole idea of using Siamese architecture is not to classify between classes but to learn to discriminate between inputs. So, it requires a differentiating form of the loss function known as the contrastive loss function. This is given as follows:
In this equation, 
, 
represents the Siamese neural network, and m represents the margin.
Let's solve the loss equation further. Take for similar pairs:
If both inputs ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.