mindspore-nlp-tutorial:MindSpore用户的自然语言处理教程-源码

上传者: 42135462 | 上传时间: 2021-07-27 18:11:20 | 文件大小: 46KB | 文件类型: ZIP
mindspore-nlp-教程 mindspore-nlp-tutorial是针对谁正在使用MindSpore研究NLP(自然语言处理)的教程。 该存储库是从迁移的。 NLP中的大多数模型都是从Pytorch版本迁移而来的,少于100行代码(注释或空白行除外) 注意:所有模型均在GPU版本中实现,但未在Ascend平台上进行测试。 课程-(示例用途) 1.基本嵌入模型 1-1。 -预测下一个单词论文- 1-2。 -嵌入单词和显示图 论文- 2. CNN(卷积神经网络) 2-1。 二进制情感分类 论文- 3. RNN(递归神经网络) 3-1。 预测下一步论文- 3-2。 自动完成论文-长期记忆(1997) 3-3。 Bi-LSTM-预测长句中的下一个单词 4.注意机制 4-1。 Seq2Seq-更改单词 论文-使用RNN编码器-用于统计机器翻译的解码器来学习短语表示(

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