可视化自编码器训练结果
From Ufldl
Line 1: | Line 1: | ||
:【原文】: | :【原文】: | ||
- | :Having trained a (sparse) autoencoder, we would now like to visualize the function | + | :Having trained a (sparse) autoencoder, we would now like to visualize the function learned by the algorithm, to try to understand what it has learned. Consider the case of training an autoencoder on <math>\textstyle 10 \times 10</math> images, so that <math>\textstyle n = 100</math>. Each hidden unit <math>\textstyle i</math> computes a function of the input: |
- | learned by the algorithm, to try to understand what it has learned. | + | |
- | Consider the case of training an autoencoder on <math>\textstyle 10 \times 10</math> images, so that <math>\textstyle n = 100</math>. | + | |
- | Each hidden unit <math>\textstyle i</math> computes a function of the input: | + | |
:【初译】: | :【初译】: | ||
得到了训练好的(稀疏)自编码器,我们就可以将通过算法习得的函数进行可视化,以便于了解学习的结果。我们以使用10×10的图像来训练自编码器为例,此时n=100。针对每个隐藏单元i,将输入值代入以下方程: | 得到了训练好的(稀疏)自编码器,我们就可以将通过算法习得的函数进行可视化,以便于了解学习的结果。我们以使用10×10的图像来训练自编码器为例,此时n=100。针对每个隐藏单元i,将输入值代入以下方程: |