Dynamic Memory Tensor Networks筆記
DMTN是對DMN的改進，借鑑了NTN(Neural Tensor Networks)中的相似度評分函數，在bAbI-1k數據集上比DMN的結果要好。模型出自論文Ask Me Even More: Dynamic Memory Tensor Networks(Extended Model)， theano實現代碼：https://github.com/rgsachin/DMTN DMTN主要改進
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相關文章
- 1. Dynamic Memory Networks & DMN+
- 2. ECCV 2018 MemTrack:《Learning Dynamic Memory Networks for Object Tracking》論文筆記
- 3. 論文筆記 Dynamic Memory Networks for Visual and Textual Question Answering（ICML2016)
- 4. 論文筆記：Learning Dynamic Memory Networks for Object Tracking
- 5. Memory Networks
- 6. 論文筆記：IJCAI-2019-Dynamic Hypergraph Neural Networks
- 7. 論文筆記《End to end memory networks》
- 8. 【論文閱讀筆記】Biomedical Event Extraction via Long Short Term Memory Networks along Dynamic Extended Tree
- 9. 談談Dynamic Memory
- 10. 《Dynamic Filter Networks》閱讀記錄