Please: Say "Twin" Networks, Not "Siamese" Networks
I'm a big fan of using a pair of identical networks to create output vectors that are then fed into a network that is trained to judge whether it's two input vectors are the same or different.
This is a powerful technique for "low k-shot" comparisons. Most ML techniques that …
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