Difference between revisions of "NLP Status Report 2016-10-17"

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*solve bug that my model training process is not in accordance with qixin's model using the adadeltaOptimazer
 
*solve bug that my model training process is not in accordance with qixin's model using the adadeltaOptimazer
 
*code and run memory network
 
*code and run memory network
 +
*By Yang: 1) fix the code of poetry generation; 2) understand the paper of MemNN; 3) read through the open-source code of MemNN
 
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|Aodong Li ||  
 
|Aodong Li ||  
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*understand Neural Machine Translation
 
*understand Neural Machine Translation
*get familiar with Theano
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*get familiar with Tensorflow
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*By Yang: 1) manage to run the code of NMT with Tensorflow; 2) Read through the code.
 
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|Shiyao Li ||
 
|Shiyao Li ||
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* read the code of Memory Network
 
* read the code of Memory Network
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*By Yang: understand the code of MemNN
 
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Revision as of 06:57, 17 October 2016

Date People Last Week This Week
2016/10/17 Yang Feng
  • modified the code of MemNN to RNNG
  • discussed the code of MemNN and RNNG with Andy and Shiyue
  • modified the code of RNNG to add MemNN
  • Read papers for reading group
  • finished the code of RNNG
Jiyuan Zhang
  • shared a paper
  • Solved the bug that my model cost was not in accordance with qixin's model
  • solved some bugs about my model
  • solve bug that my model training process is not in accordance with qixin's model using the adadeltaOptimazer
  • code and run memory network
  • By Yang: 1) fix the code of poetry generation; 2) understand the paper of MemNN; 3) read through the open-source code of MemNN
Aodong Li
Andi Zhang
  • fully understood Memn2n torch code
  • shared a paper
  • understand Neural Machine Translation
  • get familiar with Tensorflow
  • By Yang: 1) manage to run the code of NMT with Tensorflow; 2) Read through the code.
Shiyao Li
Shiyue Zhang
  • write the RNNG Use Guide [RNNG Use Guide]
  • read the RNNG code again, and discuss it with Teacher Feng
  • share a paper
  • read the code of Memory Network
  • By Yang: understand the code of MemNN