“14-10-19 Dongxu Zhang”版本间的差异
来自cslt Wiki
（→Accomplished this week） |
（→Next week） |
||
| 第6行： | 第6行： | ||
=== Next week === | === Next week === | ||
| − | * | + | * Test LSTM-Rnn LM. |
| − | * | + | * Finished building lexion. |
| − | * | + | * Understand the paper. |
| − | * | + | * May have time to achieve my baseline idea on text8. |
2014年10月19日 (日) 12:43的版本
Accomplished this week
- Train LSTM-Rnn LM with 200MB corpus(vocabulary 10k, classes 100). when using 2 kernels, it takes aroung 200min per epoch.
- Train 5-gram LM using Baiduzhidao_corpus(~30GB after preprocess) with new lexicon. There is a mistake when counted possiblity after merge.
- An idea occured to me which may improve word2vec with much more semantic information. But there is huge computation complexity problem that bothers me, which I wish we can discuss.
- Read paper "Learning Long-Term Dependencies with Gradient Descent is Difficult". Still in progress.
Next week
- Test LSTM-Rnn LM.
- Finished building lexion.
- Understand the paper.
- May have time to achieve my baseline idea on text8.
