少样本学习旨在通过少量的训练样本,运用神经网络,基于度量学习的**,比较特征来进行学习。基本模型包括:(1)Siamese Neural Network(孪生网络);(2)Matching Network(匹配网络);(3)Prototypical Network(原型网络);(4)Relation Network(关系网络)。
[1] 可视化代码
siamese-net
少样本学习旨在通过少量的训练样本,运用神经网络,基于度量学习的**,比较特征来进行学习。基本模型包括:(1)Siamese Neural Network(孪生网络);(2)Matching Network(匹配网络);(3)Prototypical Network(原型网络);(4)Relation Network(关系网络)。
[1] 可视化代码
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