Neural Bag-of-Ngrams
簡介 前一段時間看的幾篇有關文本建模的論文，如Mikolov的Doc2vec，Kiros的Skip-thought等都是側重模型的創建，即通過怎樣的神經網絡方法，得到一個較理想的文本表示。其他的有關文本建模（句子和篇章）的論文，他們的注意力並不是集中在純粹的文本建模上，而是在進行文本分類的時候，順帶的對文本進行了建模，用的方法基本上也都是深度學習，如DNN、RNN、CNN之類的。這些模型的一個共同
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相關文章
- 1. Neural Networks
- 2. neural-style
- 3. Neural Networks and Deep Learning -- Class 2: Neural Network Basics
- 4. Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
- 5. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
- 6. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 7. Neural Networks and Deep Learning -- Class 3: Shallow neural networks
- 8. Convolutional Neural Networks: Application
- 9. CNN(Convolutional Neural Network)
- 10. [Tensorflow] Cookbook - Neural Network