|
|
| 第40行： |
第40行： |
| | * how to use GPU in rnng | | * how to use GPU in rnng |
| | # learn to use it | | # learn to use it |
| − | || || | + | || |
| | + | * modify discriminative model, try to prove the positive function of static memory |
| | + | # changed train set |
| | + | # added parameter before cos |
| | + | # modified model structure |
| | + | * read the code of Teacher Feng |
| | + | # understood but did't run |
| | + | * how to use GPU in rnng |
| | + | # the result is rnng cannot run fast on GPU |
| | + | * update the 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 report] |
| | + | || |
| | + | * 90% |
| | |- | | |- |
| | | 2016/11/14 | | | 2016/11/14 |
| | | | | | |
| − | * try to implement a dynamic memory | + | * try to run rnng on multi cpu cores |
| | + | * refine the models tried before and give the result report |
| | + | * finish the code of dynamic memory model |
| | || || | | || || |
| | |- | | |- |
2016年11月14日 (一) 08:05的版本
Main Idea
People
Yang Feng, Shiyue Zhang, Andi Zhang
Time Table
| 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 discriminative model, try to prove the positive function of static memory
- change train set
- add parameter before cos
- modify model structure
- read the code of Teacher Feng
- understand and run
- learn to use it
|
- modify discriminative model, try to prove the positive function of static memory
- changed train set
- added parameter before cos
- modified model structure
- read the code of Teacher Feng
- understood but did't run
- the result is rnng cannot run fast on GPU
|
|
| 2016/11/14
|
- try to run rnng on multi cpu cores
- refine the models tried before and give the result report
- finish the code of dynamic memory model
|
|
|
| 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
|
|
|
Progress
