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原文链接：http://tecdat.cn/?p=8438** 在本文中，我们将看到如何创建语言翻译模型，这也是神经机器翻译的非常著名的应用。我们将使用seq2seq通过Python的Keras库创建我们的语言翻译模型。假定您对循环神经网络（尤其是LSTM）有很好的了解。本文中的代码是使用Kera...

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用于NLP的Python：使用Keras的多标签文本LSTM神经网络分类

介绍在本文中，我们将看到如何开发具有多个输出的文本分类模型。我们开发一个文本分类模型，该模型可分析文本注释并预测与该注释关联的多个标签。多标签分类问题实际上是多个输出模型的子集。在本文结尾，您将能够对数据执行多标签文本分类。数据集数据集包含来自Wikipedia对话...

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