Sequence Models(Week1)---Recurrent Neural Networks
一、Why sequence models 所有上述问题都可以认为是监督学习，给X打标签。 但其中的情况也各有不同，如输入和输出都是有顺序的，但X和Y的顺序不同或有相同的情况 二、Notation 索引t来指示序列中的位置 在一个序列中如何表示一个单词 在句子中表示某个单词，首先准备一个包含所有词的字典，即把将要用到的单词放在一起做一个清单 在商业规模下，常用的字典规模一般为3到5万词汇，10万级
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- 1. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
- 2. Sutskever2014_Sequence to Sequence Learning with Neural Networks
- 3. Paper：Sequence to Sequence Learning with Neural Networks
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相关文章
- 1. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
- 2. Sutskever2014_Sequence to Sequence Learning with Neural Networks
- 3. Paper：Sequence to Sequence Learning with Neural Networks
- 4. A Critical Review of Recurrent Neural Networks for Sequence Learning
- 5. Abstractive Text Classification Using Sequence-to-convolution Neural Networks
- 6. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
- 7. Supervised Sequence Labelling with Recurrent Neural Networks 笔记 -LSTM
- 8. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 9. 《Sequence to Sequence Learning with Neural Networks》阅读笔记
- 10. Sequence to Sequence Learning with Neural Networks学习笔记