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Last active January 31, 2017 08:15
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nnmodel <- mx.model.FeedForward.create(symbol = lrm
,X = train.x
,y = train.y
,ctx = mx.cpu()
,num.round = 100
,eval.metric = mx.metric.accuracy
,array.batch.size = 50
,learning.rate = 0.01)
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