未验证 提交 b2361395 编写于 作者: J Jeff Wang 提交者: GitHub

Merge pull request #543 from PaddlePaddle/updateCTRImage

Update the CTR image and description.
......@@ -146,8 +146,8 @@ Wide & Deep Learning Model\[[3](#参考文献)\] 可以作为一种相对成熟
Figure 2. Wide & Deep Model
</p>
模型边的 Wide 部分,可以容纳大规模系数特征,并且对一些特定的信息(比如 ID)有一定的记忆能力;
而模型边的 Deep 部分,能够学习特征间的隐含关系,在相同数量的特征下有更好的学习和推导能力。
模型边的 Wide 部分,可以容纳大规模系数特征,并且对一些特定的信息(比如 ID)有一定的记忆能力;
而模型边的 Deep 部分,能够学习特征间的隐含关系,在相同数量的特征下有更好的学习和推导能力。
### 编写模型输入
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......@@ -120,7 +120,7 @@ The model structure is as follows:
Figure 2. Wide & Deep Model
</p>
The wide part of the left side of the model can accommodate large-scale coefficient features and has some memory for some specific information (such as ID); and the Deep part of the right side of the model can learn the implicit relationship between features.
The wide part of the top side of the model can accommodate large-scale coefficient features and has some memory for some specific information (such as ID); and the Deep part of the bottom side of the model can learn the implicit relationship between features.
### Model Input
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ctr/images/wide_deep.png

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ctr/images/wide_deep.png

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ctr/images/wide_deep.png
ctr/images/wide_deep.png
ctr/images/wide_deep.png
ctr/images/wide_deep.png
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