Created
October 24, 2015 05:01
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| import cgt | |
| import cgt.nn as nn | |
| import numpy as np | |
| batch = 5000 | |
| mean = 0. | |
| for i in xrange(batch): | |
| mean += (cgt.randn() - mean) / (i+1) | |
| estimate_mean = cgt.function([], [mean]) | |
| for i in xrange(10): | |
| print estimate_mean() |
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