# HG changeset patch
# User Razvan Pascanu <r.pascanu@gmail.com>
# Date 1264780899 18000
# Node ID cb47cbc95a214580328a21c713165cdbdce2db11
# Parent  afdd41db8152144849dbce25c5434450664cb275
I fixed a bug in the computation of L1 and L2 regularizations

diff -r afdd41db8152 -r cb47cbc95a21 scripts/deepmlp.py
--- a/scripts/deepmlp.py	Thu Jan 28 23:03:44 2010 -0600
+++ b/scripts/deepmlp.py	Fri Jan 29 11:01:39 2010 -0500
@@ -102,8 +102,8 @@
         
         # L1 norm ; one regularization option is to enforce L1 norm to 
         # be small 
-        self.L1=abs(self.W[i]).sum()
-        self.L2_sqr=abs(self.W[i]).sum()
+        self.L1=abs(self.W[0]).sum()
+        self.L2_sqr=abs(self.W[0]).sum()
         for i in range(1,n_layer+1):
             self.L1 += abs(self.W[i]).sum()
         # square of L2 norm ; one regularization option is to enforce