uranusx86 / binarynet-on-tensorflow Goto Github PK
View Code? Open in Web Editor NEWbinary weight neural network implementation on tensorflow
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ryfan-rs sdhayalk trustdatastorageplatform zhaoluo lxwithgod kvm108 xiaomi2008 mlmagpayo leonscrt romilly flavio58it jiuzhuanzhuan xiuz blyucs maggichk mapleyustat raccoonzyj ppbasu lhg1992 enmartz jingwencoco arvind-india ssraghuvanshibinarynet-on-tensorflow's Issues
Low test accuracy
The test accuracy is too low, only 46.68%. I don't think this model works.
Replicating CIFAR10 Accuracy
Hi!I am trying to replicate the accuracy of CIFAR-10, stated to be 88.60% in the paper (Theano Implementation). You managed to achieve 86.18% which is still low compared to that stated in the paper. Do you have any ideas as to why we get reduced accuracy? And why did you use layer learning rates as layer_lr/4 instead of the baseline Glorot?
Thanks
How to save binary or quantized weights?
When I useBinaryNet, the weights saved reflect the actual weights, not the quantized one. What should I do if I want to save binary or quantized weights? Thanks a lot.
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