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

	Commit message (Expand)	Author	Age
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* \| \|	function name change in LMTrainer	txh18	2015-12-02
* \| \|	added dropout_t layer	txh18	2015-12-02
* \| \|	changed thres_mask function of matrix to a more standard api	txh18	2015-12-02
* \| \|	added rand_uniform and thres_mask for cumatrix	txh18	2015-12-01
* \| \|	got PPL115 for ptb on h300lr1bat10wc1e-4	txh18	2015-12-01
* \| \|	bug fix for lstm_t layer, t not inclueded in propagate!	txh18	2015-11-30
* \| \|	small opt for initing tnn:clip_t	txh18	2015-11-30
* \| \|	added ooutputGate for lstm_t	txh18	2015-11-30
* \| \|	bug fix: tanh implementation could cause nan	txh18	2015-11-29
* \| \|	added clip_t for tnn	txh18	2015-11-27
* \| \|	lstm_tnn can be run, todo:testing	txh18	2015-11-27
* \| \|	still working..	txh18	2015-11-26
* \| \|	working on lstm	txh18	2015-11-26
* \| \|	changed auto-generating params, won not save in global_conf.param	txh18	2015-11-25
* \| \|	added tanh operation for matrix	txh18	2015-11-25
* \| \|	let affine supported multiple inputs	txh18	2015-11-24
* \| \|	added wcost for biasparam in lm_trainer	txh18	2015-11-24
* \| \|	still working on dagL_T	txh18	2015-11-24
* \| \|	completed layerdag_t, now testing...	txh18	2015-11-23
* \| \|	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
* \| \| \|	merge in recent changes about param updates	txh18	2015-11-23
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\| * \| \| \|	small bug fix	txh18	2015-11-23
\| * \| \| \|	Merge remote-tracking branch 'upstream/master'	txh18	2015-11-23
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\| \| * \| \|	doc change	TianxingHe	2015-11-23
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\| \| * \|	add cflag __NERV_FUTURE_CUDA_7	Determinant	2015-11-23
\| \| * \|	use consistent update calc; clean up code; no need for `direct_update`	Determinant	2015-11-21
\| \| * \|	Merge pull request #12 from cloudygoose/txh18/rnnlm	Ted Yin	2015-11-18
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\| \| * \ \	Merge pull request #10 from cloudygoose/txh18/rnnlm	Ted Yin	2015-11-16
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\| * \| \ \ \	Merge branch 'txh18/rnnlm' of github.com:cloudygoose/nerv	txh18	2015-11-16
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* \| \| \| \| \|	completed gate_fff layer	txh18	2015-11-23
* \| \| \| \| \|	implementing GateFFF layer	txh18	2015-11-23
* \| \| \| \| \|	added has_param api for param_repo	txh18	2015-11-20
* \| \| \| \| \|	complete auto-generate params	txh18	2015-11-20
* \| \| \| \| \|	working on automatic parameter for layers	txh18	2015-11-20
* \| \| \| \| \|	changed work_dir setting	txh18	2015-11-18
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* \| \| \| \|	small coding style change	txh18	2015-11-18
* \| \| \| \|	h300 and h400 worked well, log added	txh18	2015-11-18
* \| \| \| \|	switch to kernel update	txh18	2015-11-17
* \| \| \| \|	bug fix for select_linear layer-by-layer update	txh18	2015-11-17
* \| \| \| \|	added atomicAdd for select_linear update, however, the result still seems unr...	txh18	2015-11-17
* \| \| \| \|	using atomicAdd for select_linear update	txh18	2015-11-17
* \| \| \| \|	added small opt: use mmatrix in lm_trainer and reader	txh18	2015-11-17
* \| \| \| \|	coding style change	txh18	2015-11-17
* \| \| \| \|	added LOG-tnn-h400 LOG	txh18	2015-11-16
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* \| \| \|	change updateEI to update_by_err_input	txh18	2015-11-16
* \| \| \|	coding style changes	txh18	2015-11-16
* \| \| \|	changed the updates for affine layer, now just use update will be okay	txh18	2015-11-16
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\| * \| \|	unified param updates, now direct_update is the same speed with undirect_update	txh18	2015-11-16