December 2019
Intermediate to advanced
468 pages
14h 28m
English
Content preview from Advanced Deep Learning with Python
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Metric-based meta learning
We mentioned a metric-based approach when we discussed the one-shot scenario in the Introduction to meta learning section, but this approach applies to k-shot learning in general. The idea is to measure the similarity between the unlabeled query sample 
and all other samples 
of the support set. Using these similarity scores, we can compute a probability distribution 
. The following formula reflects this mechanism:
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