Updated numpy as np

doc/hpcs2011_tutorial/logreg_example.py

 from __future__ import absolute_import, print_function, division
-import numpy
+import numpy as np
 import theano
 import theano.tensor as T
-rng = numpy.random
+rng = np.random
 
 N = 400
 feats = 784
@@ -13,7 +13,7 @@ training_steps = 10000
 x = T.matrix("x")
 y = T.vector("y")
 w = theano.shared(rng.randn(feats).astype(theano.config.floatX), name="w")
-b = theano.shared(numpy.asarray(0., dtype=theano.config.floatX), name="b")
+b = theano.shared(np.asarray(0., dtype=theano.config.floatX), name="b")
 x.tag.test_value = D[0]
 y.tag.test_value = D[1]
 #print "Initial model:"