Sequence Models(Week1)---Recurrent Neural Networks
一、Why sequence models 所有上述問題都可以認爲是監督學習，給X打標籤。 但其中的情況也各有不同，如輸入和輸出都是有順序的，但X和Y的順序不同或有相同的情況 二、Notation 索引t來指示序列中的位置 在一個序列中如何表示一個單詞 在句子中表示某個單詞，首先準備一個包含所有詞的字典，即把將要用到的單詞放在一起做一個清單 在商業規模下，常用的字典規模一般爲3到5萬詞彙，10萬級
相關文章
- 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 筆記 -LSTM
- 8. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 9. 《Sequence to Sequence Learning with Neural Networks》閱讀筆記
- 10. Sequence to Sequence Learning with Neural Networks學習筆記
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相關文章
- 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 筆記 -LSTM
- 8. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 9. 《Sequence to Sequence Learning with Neural Networks》閱讀筆記
- 10. Sequence to Sequence Learning with Neural Networks學習筆記