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| 第10行： |
第10行： |
| | | 2016/10/31 | | | 2016/10/31 |
| | | | | | |
| − | # implement rnng+static memory discriminative model
| + | * implement rnng+static memory discriminative model |
| − | * fix the unexpected action
| + | # fix the unexpected action |
| − | * rerun the original discriminative model
| + | # rerun the original discriminative model |
| − | * rerun the centred memory rnng model
| + | # rerun the centred memory rnng model |
| − | * get wrong instances of original trained model, and get statistics
| + | # get wrong instances of original trained model, and get statistics |
| − | * run the wrong memory rnng model
| + | # run the wrong memory rnng model |
| − | * run the sampled memory rnng model
| + | # run the sampled memory rnng model |
| − | * update experiment report
| + | # update experiment report |
| | || | | || |
| − | * fixed the unexpected action | + | * implementation is done, but result is not satisfied. |
| − | * reran the original discriminative model
| + | # fixed the unexpected action |
| − | * reran the centred memory rnng model
| + | # reran the original discriminative model |
| − | * got wrong instances of original trained model, and get statistics
| + | # reran the centred memory rnng model |
| − | * ran the sampled memory rnng model
| + | # got wrong instances of original trained model, and get statistics |
| − | * ran the wrong memory rnng model
| + | # ran the sampled memory rnng model |
| − | * updated experiment report [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/RNNG%2Bmm%E5%AE%9E%E9%AA%8C%E6%8A%A5%E5%91%8A.pdf]
| + | # ran the wrong memory rnng model |
| | + | # updated experiment report [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/RNNG%2Bmm%E5%AE%9E%E9%AA%8C%E6%8A%A5%E5%91%8A.pdf] |
| | || | | || |
| | * 100% | | * 100% |
| Date |
Work Plan |
Work Done |
Completion Rate
|
| 2016/10/31
|
- implement rnng+static memory discriminative model
- fix the unexpected action
- rerun the original discriminative model
- rerun the centred memory rnng model
- get wrong instances of original trained model, and get statistics
- run the wrong memory rnng model
- run the sampled memory rnng model
- update experiment report
|
- implementation is done, but result is not satisfied.
- fixed the unexpected action
- reran the original discriminative model
- reran the centred memory rnng model
- got wrong instances of original trained model, and get statistics
- ran the sampled memory rnng model
- ran the wrong memory rnng model
- updated experiment report [1]
|
|
| 2016/11/7
|
- modify model
- try to prove the positive function of static memory
|
|
|
| 2016/11/14
|
- try to implement a dynamic memory
|
|
|
| 2016/11/21
|
- modify model
- try to prove the positive function of dynamic memory
|
|
|
| 2016/11/28
|
- modify model
- try to prove the positive function of dynamic memory
|
|
|
| 2016/12/5
|
- get the first final rnng+mm discriminative model
|
|
|
| 2016/12/12
|
- give a plan to transfer to generative model
|
|
|
| 2016/12/19
|
- implement rnng+mm generative model
|
|
|
| 2016/12/26
|
- modify model
- try to prove the positive function of memory
|
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|
