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Lua-based toolkit for high-performance deep learning
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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
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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
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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
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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 unr...
txh18
2015-11-17
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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
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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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used os.clock() for timer
txh18
2015-11-16
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