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0.9 um in the momentum learning rates of 1 -2 you reduce them in normal ways. So
you reduce roughly by factor of 10 whenever validation stops improving and weight decay of just a bit 5 negative4 and uh ensembling always helps. So you
train seven independent convolutional networks separately and then you just average their predictions always gives you additional 2% improvement. So this
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