add image classification into REAME. #129
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| ## 2. 使用循环神经网络语言模型生成文本 | ||
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| 语言模型是自然语言处理领域里一个重要的基础模型，它是一个概率分布模型，利用它可以确定哪个词序列的可能性更大，或者给定若干个词，可以预测下一个最可能出现的词。语言模型被应用在很多领域，如：自动写作、QA、机器翻译、拼写检查、语音识别、词性标注等。 | ||
| 语言模型是自然语言处理领域里一个重要的基础模型，除了得到词向量（语言模型训练的副产物），还可以帮助我们生成文本。给定若干个词，语言模型可以帮助我们预测下一个最可能出现的词。在利用语言模型生成文本的例子中，我们重点介绍循环神经网络语言模型，大家可以通过文档中的使用说明快速适配到自己的训练语料，完成自动写诗、自动写散文等有趣的模型。 |
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除了得到词向量（语言模型训练的副产物），还可以帮助我们生成文本。
需要换一下顺序么：除了帮助我们生成文本，还能得到词向量（语言模型训练的副产物）?
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因为目前语言模型是出现在models的第二个模型，第一个词向量就是用语言模型训练得到的。所以把词向量放在了前面。
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update README to add image classification.