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Deep feature representation h是一个向量吗

我在论文中看到：The network defines a trasnformation
image which transforms an raw input text x to r-dimensional deep representation h.
这是不是就意味着最后的h是一个r维的向量呢？
因为注意到文章在超参数一节中写道CNN的两层**使用了两次Folding，我疑惑的是，48行的矩阵输入经过两次folding是不是就应该变成12行矩阵呢，想请问最后是怎么成为h向量的呢？

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