“Dongxu Zhang 2015-09-14”版本间的差异

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1. The accuracy of tfidf with 2 layer NN and softmax for classification is higher than 4 layer NN and softmax(79%, 75%).  
 
1. The accuracy of tfidf with 2 layer NN and softmax for classification is higher than 4 layer NN and softmax(79%, 75%).  
 
 
 
   The performance on test set gets best result when training error is around 0.98.  
 
   The performance on test set gets best result when training error is around 0.98.  
  

2015年9月15日 (二) 07:39的版本

Last Week:

1. The accuracy of tfidf with 2 layer NN and softmax for classification is higher than 4 layer NN and softmax(79%, 75%).

  The performance on test set gets best result when training error is around 0.98. 

2. Set small lambda of joint training only made the result not that bad. (tried lambda = 0.1)

3. Tried a simple idea on Graph prediction.

This Week:

1. Tried features for softmax. And tried smaller lambda.

2. tune the performance of transE. and check out if the idea works.

3. Try sequence supervised learning. Compare with Viterbi.