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| （相同用户的2个中间修订版本未显示） |
| 第5行： |
第5行： |
| | |Yang Feng || | | |Yang Feng || |
| | *[[nmt+mn:]] tried to improve the nmt baseline; | | *[[nmt+mn:]] tried to improve the nmt baseline; |
| | + | *met with problems for baseline, rulling out the factor of output order and file format and got the reason of learning rate. |
| | *read the code of Andy's; | | *read the code of Andy's; |
| | *wrote the code for bleu evaluation; | | *wrote the code for bleu evaluation; |
| − | *finished the code of nmt+mn; | + | *managed to fix the code of nmt+mn; |
| − | *ran experiments; | + | *ran experiments [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/50/Nmt_mn_report.pdf report]] |
| | || | | || |
| | *[[nmt+mn:]] do further experiments. | | *[[nmt+mn:]] do further experiments. |
| Date |
People |
Last Week |
This Week
|
| 2017/1/3
|
Yang Feng |
- nmt+mn: tried to improve the nmt baseline;
- met with problems for baseline, rulling out the factor of output order and file format and got the reason of learning rate.
- read the code of Andy's;
- wrote the code for bleu evaluation;
- managed to fix the code of nmt+mn;
- ran experiments [report]
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| Jiyuan Zhang |
- improved speed of prediction process
- ran expriments:
two sytles expriments of top1_memory_model
overfitting expriments of top1_memory_model
two styles expriments of average_memory_model
overfitting expirments of average_memory_model
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|
| Andi Zhang |
- handed in previous codes to Mrs.Feng
- help Jiyuan gather poems about tianyuan
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- help Jiyuan with his work
- gather more poems
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| Shiyue Zhang |
- tried to improve rnng+mm model, but still failed [report]
- stopped rnng work to help Teacher Feng with NMT
- ran theano NMT code successfully, and found a problem of test
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- run and test the theano NMT model
- try to modify tensorflow NMT model, run and test
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| Guli |
- run nmt with monolingual data
- bleu computation
- learn about tensorflow
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- improve my paper
- analyze experiment results
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| Peilun Xiao |
- learned tf-idf algorithm
- coded tf-idf alogrithm in python,but found it not worked well
- tried to use small dataset to test the program
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- use sklearn tfidf to test the dataset
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