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1. [Classify Images](classify_images/README.md) | ||
1. [Understand Sentiment](understand_sentiment/README.md) | ||
1. [Machine Translation](machine_translation/README.md) | ||
1. [Label Semantic Roles](label_semantic_roles/README.md) |
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PaddlePaddle深度学习教程
- 新手入门:getstarted
- 手写识别:mnist
- 图像分类:image_classification
- 词向量:word2vec
- 情感分析:sentiment_analysis
- 序列标注:sequence_tagging
- 语义角色标注:semantic_role_labeling
- 机器翻译:machine_learning
- 个性化推荐:recommendation
- 图像自动生成:gan
(前半部分是中文目录名,后半部分是英文目录名)
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recommendation 不是说是简单模型吗?不需要放在前面吗?
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那就放在第二个位置吧?
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另外,语义角色标注和序列标注是否保留其中一个即可?做的几乎是同一件事情
有个问题是,这两个任务中,分别引用了徐老师的一篇paper,用的不同的模型。
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@Zrachel 要不我先把序列标注删了。将来咱们如果有余力,再加?
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@llxxxll 点进去,md最开始都会给例子说明干吗的,能怎么用
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@luotao1 machine_learning 那个目录也不存在呢?
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@wangkuiyi 是seqToseq那个目录
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https://www.tensorflow.org/tutorials/ 最外面加一个类似这个的目录吧,说明每章具体干吗的
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点进去再看,也可以的。但是如果标题能更易读,会更好。
@Zrachel 可以在README.md里面补充。 |
@wangkuiyi 词向量不要了么 |
增加了word2vec。 大家写comment的时候,请先点击某一行之前的那个小加号。这样comment的上下文清晰。 |
Recommender network configure simplification
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