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Triplet Loss 损失函数 - 简书
source link: https://www.jianshu.com/p/46c6f68264a1?
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Triplet Loss是深度学习中的一种损失函数，用于训练差异性较小的样本，如人脸等， Feed数据包括锚（Anchor）示例、正（Positive）示例、负（Negative）示例，通过优化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。 数据集：MNIST 框架：DL-Project-Template 目标：通过Triplet Loss训练模型，实现手写图像的相似性...
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