Comments (3)
bobo0810
commented on June 14, 2024
@yuanwei0908 我的理解是：流程是 队列内特征无梯度，mini-batch输出的特征有梯度。两者concat的特征（有梯度）输入分类器。 作者这样画图是更好理解，并非两个Loss。简言之，mini-batch的梯度更新卷积层，mini-batch和队列的concat特征更新分类器。
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bobo0810
commented on June 14, 2024
@yuanwei0908 readme.md写过，mini-batch和大队列共同作用，产生更好地分类器。更好的分类器才能训练更好的卷积层。同时实验验证效果良好。欢迎探讨，我也仅是片面理解~
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yuanwei0908
commented on June 14, 2024
@bobo0810 你理解的对，感谢。
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