“Dongxu Zhang 2015-09-14”版本间的差异
来自cslt Wiki
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Last Week: | 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%). | + | 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. |
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2. Set small lambda of joint training only made the result not that bad. (tried lambda = 0.1) | 2. Set small lambda of joint training only made the result not that bad. (tried lambda = 0.1) |
2015年9月15日 (二) 07:39的最后版本
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.