April 2020
Beginner to intermediate
156 pages
4h 47m
English
Content preview from Hands-On One-shot Learning with Python
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Algorithm
Meta networks also follow a similar training procedure to that of matching networks. Here training data is divided into two types: the support set, S = 
and the test set, U = 
.
Remember that at present, we have four networks, (
), and four sets of model parameters to learn, (θ,ϕ,w,v). Let's go through all of the steps of the algorithm:
Following are the steps of the algorithm:
- Sample K random pairs from support the set, S.
For :
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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.