【論文】ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
論文地址：ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks 1. 引言： 本文嘗試用 基於四個方向的 RNN 來替換掉 CNN中的 convolutional layer（即：卷積+Pooling 的組合）。通過在前一層的 feature 上進行四個方向的掃描，完成特徵學習的過程。與傳統
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相關文章
- 1. 論文筆記：ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
- 2. 【閱讀筆記】《ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks》
- 3. (zhuan) Recurrent Neural Network
- 4. 論文筆記：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
- 5. Recurrent Convolutional Neural Networks for Text Classification
- 6. [論文] Aspect Based Sentiment Analysis with Gated Convolutional Networks
- 7. 論文筆記：Recurrent Convolutional Neural Networks for Text Classification
- 8. 論文《Recurrent Convolutional Neural Networks for Text Classification》總結
- 9. 【閱讀筆記】《ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation》
- 10. Introduction to Recurrent Neural Networks