14-10-19 Dongxu Zhang

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Accomplished this week

  • Train LSTM-Rnn LM with 200MB corpus(vocabulary 10k, classes 100, i100*m100). when using 2 cpu kernels, it takes aroung 200min per iteration.
  • Train 5-gram LM using Baiduzhidao_corpus(~30GB after preprocess) with new lexicon. There is a mistake when counted possiblity after merge.
  • Read paper "Learning Long-Term Dependencies with Gradient Descent is Difficult". Still in progress.
  • An idea occured to me which may improve the performance of word2vec with much more semantic information added. But there is huge computation complexity problem that bothers me, which I wish we can discuss about.

Next week

  • Test LSTM-Rnn LM.
  • Finished building lexion.
  • Understand the paper.
  • May have time to achieve my baseline idea on text8.


  • Prepare for toefl test.
  • prepare for master's thesis.