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| − | {| class="wikitable"
| + | [[NLP Status Report 2017-3-6]] |
| − | !Date !! People !! Last Week !! This Week
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| − | |-
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| − | | rowspan="6"|2017/1/3
| + | |
| − | |Yang Feng ||
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| − | ||
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| − | |-
| + | |
| − | |Jiyuan Zhang ||
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| − | * reproduced planning neural network [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/38/Planning_neural_network_initial_decode.pdf results]
| + | |
| − | ||
| + | |
| − | *reproduce planning neural network
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| − | |-
| + | |
| − | |Andi Zhang ||
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| − | * added source masks in attention_decoder where calculates attention and in gru_cell where calculates new states.
| + | |
| − | * found the attribute sentence_length, perhaps it works better than my code
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| − | ||
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| − | |-
| + | [[ASR Status Report 2017-3-6]] |
| − | |Shiyue Zhang ||
| + | |
| − | * figured out the problem of attention: the initial value of V should be around 0
| + | |
| − | * tested different modification, such as add mask, init b with 0.
| + | |
| − | * Compared the results, and concluded only change the initial value of V is the best.
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| − | ||
| + | |
| − | * try to get right attention on memory
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| − | |-
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| − | |Peilun Xiao ||
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| − | ||
| + | [[FIN Status Report 2017-3-6]] |
| | | | |
| − | |}
| + | [[FreeNeb Status Report 2017-3-6]] |
2017年3月7日 (二) 09:09的最后版本
NLP Status Report 2017-3-6
ASR Status Report 2017-3-6
FIN Status Report 2017-3-6
FreeNeb Status Report 2017-3-6
