language model and RNN
本文首先介紹基於n-gram的語言模型，然後引出RNN模型 一、基於n-gram的語言模型 語言模型：計算一個詞彙序列出現的概率 (a language model computes a probability for a sequence of words: P(w_1, w_2,…, w_T) 語言模型的作用： 1. word ordering p(the cat is small) > p(
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相關文章
- 1. NLP（4）Language Model and Smoothing
- 2. UniLM: Unified Language Model Pre-training for Natural Language Understanding and Generation
- 3. Language Model
- 4. 《VideoBERT: A Joint Model for Video and Language Representation Learning》
- 5. A Neural Probabilistic Language Model
- 6. 吳恩達Deeplearning.ai 第五課 Sequence Model 第一週------Language model and sequence generation
- 7. 《A Neural Probabilistic Language Model》
- 8. 22 language model學習筆記
- 9. Implementing an LSTM RNN Model
- 10. Neural Network Language Model（NNLM）