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changeset 22:cb47cbc95a21

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I fixed a bug in the computation of L1 and L2 regularizations
author Razvan Pascanu <r.pascanu@gmail.com>
date Fri, 29 Jan 2010 11:01:39 -0500
parents afdd41db8152
children 442789c94b27
files scripts/deepmlp.py
diffstat 1 files changed, 2 insertions(+), 2 deletions(-) [+]
line wrap: on
line diff
--- 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