nerv - Lua-based toolkit for high-performance deep learning

	Commit message (Collapse)	Author	Age
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* \| \|	...	txh18	2015-12-09
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* \| \|	small bugs fix for bilstm script	txh18	2015-12-08
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* \| \|	small bugs fix	txh18	2015-12-07
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* \| \|	...	txh18	2015-12-07
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* \| \|	lm script change:user can set start_lr	txh18	2015-12-06
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* \| \|	some log chang	txh18	2015-12-06
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* \| \|	added extend_t for tnn to save GPU memory	txh18	2015-12-06
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* \| \|	small bug fix on lm train script	txh18	2015-12-06
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* \| \|	small bug fix in lm training script	txh18	2015-12-06
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* \| \|	small bug fix in lm training script	txh18	2015-12-05
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* \| \|	added twitter, added bilstmlm script, todo: test bilstmlm	txh18	2015-12-05
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* \| \|	changed lstm_t to a more standard version	txh18	2015-12-05
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* \| \|	small bug fix for lmptb.lstm_t_v2	txh18	2015-12-04
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* \| \|	trying to use lstm_t_v2 for ptb	txh18	2015-12-04
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* \| \|	added one_sen_report to lm_process_file	txh18	2015-12-04
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* \| \|	...	txh18	2015-12-04
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* \| \|	added testout command for lstmlm	txh18	2015-12-04
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* \| \|	added log_redirect to SUtil	txh18	2015-12-04
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* \| \|	applying dropout on lstm.h before combinerL seems bad, PPL only 95, trying ↵	txh18	2015-12-03
\| \| \| \| \| \| \| \| \| \| \| \|	another way(like in the paper) of dropout for lstm.h after combinerL
* \| \|	added two layers to lstmlm_ptb, todo:test it	txh18	2015-12-03
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* \| \|	added al_sen_start stat for lmseqreader	txh18	2015-12-03
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* \| \|	moved tnn to main nerv dir and added it to Makefile	txh18	2015-12-03
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* \| \|	...	txh18	2015-12-03
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* \| \|	small bug fix in tnn for se_mode, todo:test it	txh18	2015-12-02
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* \| \|	added se_mode for lmseqreader, todo:check it	txh18	2015-12-02
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* \| \|	function name change in LMTrainer	txh18	2015-12-02
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* \| \|	added dropout_t layer	txh18	2015-12-02
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* \| \|	changed thres_mask function of matrix to a more standard api	txh18	2015-12-02
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* \| \|	added rand_uniform and thres_mask for cumatrix	txh18	2015-12-01
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* \| \|	got PPL115 for ptb on h300lr1bat10wc1e-4	txh18	2015-12-01
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* \| \|	bug fix for lstm_t layer, t not inclueded in propagate!	txh18	2015-11-30
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* \| \|	small opt for initing tnn:clip_t	txh18	2015-11-30
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* \| \|	added ooutputGate for lstm_t	txh18	2015-11-30
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* \| \|	bug fix: tanh implementation could cause nan	txh18	2015-11-29
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* \| \|	added clip_t for tnn	txh18	2015-11-27
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* \| \|	lstm_tnn can be run, todo:testing	txh18	2015-11-27
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* \| \|	still working..	txh18	2015-11-26
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* \| \|	working on lstm	txh18	2015-11-26
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* \| \|	changed auto-generating params, won not save in global_conf.param	txh18	2015-11-25
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* \| \|	added tanh operation for matrix	txh18	2015-11-25
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* \| \|	let affine supported multiple inputs	txh18	2015-11-24
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* \| \|	added wcost for biasparam in lm_trainer	txh18	2015-11-24
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* \| \|	still working on dagL_T	txh18	2015-11-24
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* \| \|	completed layerdag_t, now testing...	txh18	2015-11-23
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* \| \|	small bug fix	txh18	2015-11-23
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\| * \|	Merge branch 'master' of github.com:Nerv-SJTU/nerv	Determinant	2015-11-23
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\| * \| \|	correct the use of self.gconf	Determinant	2015-11-23
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* \| \| \|	merge in recent changes about param updates	txh18	2015-11-23
\|\ \ \ \ \| \| \| \| \| \| \| \| \| \| \| \| \| \| \|	Merge branch 'master' into txh18/rnnlm
\| * \| \| \|	small bug fix	txh18	2015-11-23
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\| * \| \| \|	Merge remote-tracking branch 'upstream/master'	txh18	2015-11-23
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