keras实现人证比对论文《Large-scale Bisample Learning on ID vs. Spot Face Recognition》的核心思想; 当类别数非常大时(超过百万)，GPU显存可能无法装载权重参数；可以使用支配原型概念，每个step将相关的类别一块训练，step开始时将当前mini-batch的类别原型权重加载到GPU中，而不用加载所有的类别权重参数; step结束时更新并保存当前训练类别的原型权重
☆23Jan 15, 2019Updated 7 years ago
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