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Trasfer_learning_example_paddle2.0rc_flowerdataset#939
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TCChenlong
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Dec 10, 2020
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文件路径错了，应该在 paddle2.0_docs 下面
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这一段上面的部分可以精简一下哈，不需要介绍的这么详细，保留图中的这一部分应该就ok了
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上面的这一部分文案，也可以简短的写一下哈，大意可以围绕着使用飞桨框架预训练模型，通过迁移学习来完成图像分类，最好不要直接套用高层API的那篇文章，不太好~~
| "### 3 模型训练\n", | ||
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| "过去常常困扰深度学习开发者的一个问题是，模型训练的代码过于复杂，常常要写好多步骤，才能正确的使程序运行起来，冗长的代码使许多开发者望而却步。\n", |
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| "其实，这里也会用到上文提到的自定义Callback，我们只需要自定义与loss相关的Callback，然后保存loss信息，最后将其转化为图片即可。具体的实现过程如下所示：" |
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| "#### 3.3 模型验证" |
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验证完了 最好写一段总结什么的，就是通过这个项目实现了什么任务，大概总结一下就好
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使用paddle2.0高层API完成迁移学习任务，使用的数据集为API中封装的鲜花数据集，通过雨哥的指导，对标签值做了预处理。迭代了两次。使用预训练模型resnet-18.