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MXNet / Gluon 中 Triplet Loss 算法 - 简书

 5 years ago
source link: https://www.jianshu.com/p/f97fab0d5989?
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Triplet Loss,即三元组损失,用于训练差异性较小的数据集,数据集中标签较多,标签的样本较少。输入数据包括锚(Anchor)示例⚓️、正(Positive)示例和负(Negative)示例,通过优化模型,使得锚示例与正示例的距离小于锚示例与负示例的距离,实现样本的相似性计算。其中锚示例是样本集中随机选取的一个样本,正示例与锚示例属于同一类的样本,而负示例与锚示例属于不同类的样本。 在...

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