| Date |
People |
Last Week |
This Week
|
| 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.
|
- implement the neural grammar based on memory networks
|
| Jiyuan Zhang |
- started to write my part of deep learning chapter
- perfected poem’s code according to qx’code
|
- complete initial version of my part of book
- generate the same level poem compared to qx’s
|
| Aodong Li |
- Do some analysis about rare word embeddings analysis
- Complete the code according to my analysis and experiments are running
|
- Reproduce the paper's method and try to achieve some improvements if possible
|
| Andi Zhang |
|
|
| Shiyao Li |
|
|
| 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
|
- get the result of rnn grammar on bAbI data set;
- understand the code of rnn grammar.
|
| Jiyuan Zhang |
- wrote a report on the music generation [here]
- completed the text section of my part of deep learning chapter,yet not completed the illustration [here]
|
- complete the illustration
- find some paper about generation task
|
| Aodong Li |
|
|
| Andi Zhang |
|
- look for source code of Memnn
- prepare for the sharing of a paper
|
| Shiyao Li |
|
|
| Shiyue Zhang |
- Help Zhiyong with the document
- Read papers: "Memory Networks" and "Neural Machine Translation"
|
- Go on with the paper reading
- prepare for the bi-week report
|
