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| 第36行: |
第36行: |
| | *understand the code of rnn grammar. | | *understand the code of rnn grammar. |
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| − | |Jiyuan Zhang || || | + | |Jiyuan Zhang || |
| | + | *wrote a report on the music generation |
| | + | *completed the text section of my part of deep learning chapter,yet not completed the illustration |
| | + | || |
| | + | *complete the illustration |
| | + | *run the expriment about poem |
| | + | *find some paper about generation task |
| | |- | | |- |
| | |Aodong Li || || | | |Aodong Li || || |
| Date |
People |
Last Week |
This Week
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| 2016/09/05
|
Yang Feng |
- surveyed memory networks -- papers and codes
- surveyed the progress of Turing machine in 2016, mainly focusing on dynamic addressing Turing machine and reinforcement learning Turing machine.
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- implement the neural grammar based on memory networks
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| Jiyuan Zhang |
- started to write my part of deep learning chapter
- perfected poem’s code according to qx’code
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- complete initial version of my part of book
- generate the same level poem compared to qx’s
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| Aodong Li |
- Do some analysis about rare word embeddings analysis
- Complete the code according to my analysis and experiments are running
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- Reproduce the paper's method and try to achieve some improvements if possible
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| Andi Zhang |
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| Shiyao Li |
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| 2016/09/12
|
Yang Feng |
- surveyed several papers of NN parsing;
- came up with the details of our memory network grammar
- downloaded the resources of baselines, including: Dyer's rnn grammar, facebook memory network and facebook bAbI data
- ran and read the code of rnn grammar
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- get the result of rnn grammar on bAbI data set;
- understand the code of rnn grammar.
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| Jiyuan Zhang |
- wrote a report on the music generation
- completed the text section of my part of deep learning chapter,yet not completed the illustration
|
- complete the illustration
- run the expriment about poem
- find some paper about generation task
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| Aodong Li |
|
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| Andi Zhang |
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| Shiyao Li |
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| Shiyue Zhang |
- Help Zhiyong with the document
- Read papers: "Memory Networks" and "Neural Machine Translation"
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- Go on with the paper reading
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