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

	Commit message (Collapse)	Author	Age
*	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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\| \| * \|	doc change	TianxingHe	2015-11-23
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\| \| *	add cflag __NERV_FUTURE_CUDA_7	Determinant	2015-11-23
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\| \| *	use consistent update calc; clean up code; no need for `direct_update`	Determinant	2015-11-21
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\| \| *	Merge pull request #12 from cloudygoose/txh18/rnnlm	Ted Yin	2015-11-18
\| \| \|\ \| \| \| \| \| \| \| \|	add atomicAdd for cukernel
\| \| * \	Merge pull request #10 from cloudygoose/txh18/rnnlm	Ted Yin	2015-11-16
\| \| \|\ \ \| \| \| \| \| \| \| \| \| \|	add optimization for parameter update
\| * \| \ \	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
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* \| \| \| \|	implementing GateFFF layer	txh18	2015-11-23
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* \| \| \| \|	added has_param api for param_repo	txh18	2015-11-20
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* \| \| \| \|	complete auto-generate params	txh18	2015-11-20
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* \| \| \| \|	working on automatic parameter for layers	txh18	2015-11-20
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* \| \| \| \|	changed work_dir setting	txh18	2015-11-18
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* \| \| \|	small coding style change	txh18	2015-11-18
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* \| \| \|	h300 and h400 worked well, log added	txh18	2015-11-18
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* \| \| \|	switch to kernel update	txh18	2015-11-17
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* \| \| \|	bug fix for select_linear layer-by-layer update	txh18	2015-11-17
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* \| \| \|	added atomicAdd for select_linear update, however, the result still seems ↵	txh18	2015-11-17
\| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \|	unreproducable, I changed select_linear layer update back to line-by-line
* \| \| \|	using atomicAdd for select_linear update	txh18	2015-11-17
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* \| \| \|	added small opt: use mmatrix in lm_trainer and reader	txh18	2015-11-17
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* \| \| \|	coding style change	txh18	2015-11-17
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* \| \| \|	added LOG-tnn-h400 LOG	txh18	2015-11-16
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* \| \|	change updateEI to update_by_err_input	txh18	2015-11-16
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* \| \|	coding style changes	txh18	2015-11-16
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* \| \|	changed the updates for affine layer, now just use update will be okay	txh18	2015-11-16
\|\ \ \ \| \| \|/ \| \|/\| \| \| \|	Merge branch 'txh18/rnnlm'
\| * \|	unified param updates, now direct_update is the same speed with undirect_update	txh18	2015-11-16
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\| * \|	...	txh18	2015-11-16
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\| * \|	...	txh18	2015-11-16
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