Fixed signed bug in weight initialization

Author: pascanur

code/mlp.py

@@ -83,7 +83,7 @@ def __init__(self, input, n_in, n_hidden, n_out):
         # the output of uniform if converted using asarray to dtype 
         # theano.config.floatX so that the code is runable on GPU
         W2_values = numpy.asarray( numpy.random.uniform( 
-              low = numpy.sqrt(6./(n_hidden+n_out)), \
+              low = -numpy.sqrt(6./(n_hidden+n_out)), \
               high= numpy.sqrt(6./(n_hidden+n_out)),\
               size= (n_hidden, n_out)), dtype = theano.config.floatX)