“RNN TEST”版本间的差异

2014年9月2日 (二) 07:13的版本

140901

wsj_data

  1. parameter
     rand_seed=1
     nwords=10000 # This is how many words we're putting in the vocab of the RNNLM.
     hidden=30
     class=200 # Num-classes... should be somewhat larger than sqrt of nwords.
     direct=1000 # Number of weights that are used for "direct" connections, in millions.
     rnnlm_ver=rnnlm-0.3e # version of RNNLM to use
     threads=1 # for RNNLM-HS
     bptt=2 # length of BPTT unfolding in RNNLM
     bptt_block=20 # length of BPTT unfolding in RNNLM
  2.time:3-hour
  3.data_size:200M
  4.data:np_data

 1.parameter
     rand_seed=1
     nwords=10000 # This is how many words we're putting in the vocab of the RNNLM.
     hidden=320
     class=300 # Num-classes... should be somewhat larger than sqrt of nwords.
     direct=2000 # Number of weights that are used for "direct" connections, in millions.
     rnnlm_ver=rnnlm-0.3e # version of RNNLM to use
     threads=1 # for RNNLM-HS
     bptt=2 # length of BPTT unfolding in RNNLM
     bptt_block=20 # length of BPTT unfolding in RNNLM