towards-a-biologically-plausible-backprop's People
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zeitgeberh benjamesbabala matfrei vyraun ml-lab ylch stephangrzelkowski sjr113 mahjiong ffa huynhlam guitaricet dsxxxk sheridp allizwell2018 zhouzhou773towards-a-biologically-plausible-backprop's Issues
Training freezes after a few epochs
Hi! First of all, thanks for sharing the implementation. I am trying to run the code using your instructions:
THEANO_FLAGS="floatX=float32, gcc.cxxflags='-march=core2'" python train_model.py
But after a few epochs the process always freezes and gets killed. Do you have any idea why that might happen? I am running Ubuntu 16.04 with Intel Core i7-6700 CPU @ 3.40GHz ร 8. Cheers.
Error Rate
Hi,
I am not sure why I am getting so high error rate
0-train-50000 E=0.9 C=0.89960 error=89.960%
dlogW1=0.006% dlogW2=0.000%
valid-10000 E=10.9 C=0.97202 error=90.84%
duration=3.2 min
1-train-50000 E=0.9 C=0.90050 error=90.050%
dlogW1=0.002% dlogW2=0.000%
valid-10000 E=10.6 C=0.95701 error=90.84%
duration=6.4 min
...............................................................................
...............................................................................
23-train-50000 E=0.9 C=0.90098 error=90.098%
dlogW1=0.000% dlogW2=0.000%
valid-10000 E=9.3 C=0.94556 error=89.69%%
duration=79.4 min
24-train-50000 E=0.9 C=0.90142 error=90.142%
dlogW1=0.000% dlogW2=0.000%
valid-10000 E=7.7 C=0.97214 error=89.39%
duration=84.5 min
The error rate is always near 90%. Is there any special requirement for your source code? I am running Ubuntu 16.04 with nVidia Cuda 7.0, cudnn 5. Can you please suggest anything?
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