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关于特征提取后进行feature_normalize的疑问 #3102
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这一步操作是必须的,因为在训练的时候使用了feature_normalize操作,所以在推理的时候也必须使用。另外,这里使用后,计算的相似度就不再是欧氏距离了,而是余弦距离。 |
@cuicheng01 非常感谢你的回复。 |
可以去看看源码哈 |
在”特征提取“脚本中,看通过模型提取到特征向量后,对原有向量进行了feature_normalize操作得到新的特征向量,请问该操作作用是什么,是不是必须的
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