CS224n-08 Recurrent Neural Networks and Language Models
08 Recurrent Neural Networks and Language Models 内容提要： 1、传统的语言模型 2、RNNs 3、RNN语言模型 4、重要的训练问题和技巧 （1）梯度消失问题的一个例子 （2）梯度消失和爆炸 5、其他序列任务中的RNNS 6、双向和深度RNNs 语言模型： 语言模型就是用来计算句子中单词序列出现的概率： ，在机器翻译中是有用处的。 1、词序（Wor
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相关文章
- 1. Lecture 6: Language Models and Recurrent Neural Networks
- 2. Sequence Models(Week1)---Recurrent Neural Networks
- 3. Attention and Augmented Recurrent Neural Networks
- 4. 019 Recurrent Neural Networks
- 5. 斯坦福大学2019自然语言处理CS224n，Lecture6：Language Models and Recurrent Neural Networks
- 6. Character-Aware Neural Language Models
- 7. The Unreasonable Effectiveness of Recurrent Neural Networks
- 8. RNN(Recurrent Neural Networks)
- 9. Recurrent Neural Networks
- 10. (zhuan) Recurrent Neural Network