Definitions from Wiktionary (zero-shot learning)
▸ noun: (machine learning) A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information.
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▸ noun: (machine learning) A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information.
Similar:
few-shot learning,
one-shot learning,
online learning,
machine learning,
feedforward neural network,
metalearning,
deep learning,
automated machine learning,
no free lunch theorem,
Q-learning,
more...
▸ Words similar to zero-shot learning
▸ Usage examples for zero-shot learning
▸ Idioms related to zero-shot learning
▸ Wikipedia articles (New!)
▸ Words that often appear near zero-shot learning
▸ Rhymes of zero-shot learning
▸ Invented words related to zero-shot learning