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add image classification into REAME. #129

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merged 1 commit into from
Jun 27, 2017

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lcy-seso
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update README to add image classification.

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@luotao1 luotao1 left a comment

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LGTM


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。

@lcy-seso lcy-seso merged commit 01c4df2 into PaddlePaddle:develop Jun 27, 2017
@lcy-seso lcy-seso deleted the update_readme branch June 28, 2017 09:10
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2 participants