--- a/deep/convolutional_dae/run_exp.py	Mon Apr 26 14:56:06 2010 -0400
+++ b/deep/convolutional_dae/run_exp.py	Mon Apr 26 14:56:34 2010 -0400
@@ -1,6 +1,7 @@
 from ift6266.deep.convolutional_dae.scdae import *
 
 class dumb(object):
+    COMPLETE = None
     def save(self):
         pass
 
@@ -18,19 +19,23 @@
     # TODO: maybe record pynnet version?
     channel.save()
 
-    dset = datasets.nist_all()
+    dset = datasets.nist_P07()
 
     nfilts = []
+    fsizes = []
     if state.nfilts1 != 0:
         nfilts.append(state.nfilts1)
+        fsizes.append((5,5))
         if state.nfilts2 != 0:
             nfilts.append(state.nfilts2)
+            fsizes.append((3,3))
             if state.nfilts3 != 0:
                 nfilts.append(state.nfilts3)
+                fsizes.append((3,3))
                 if state.nfilts4 != 0:
                     nfilts.append(state.nfilts4)
+                    fsizes.append((2,2))
 
-    fsizes = [(5,5)]*len(nfilts)
     subs = [(2,2)]*len(nfilts)
     noise = [state.noise]*len(nfilts)
 
@@ -61,7 +66,7 @@
     print "training ..."
     sys.stdout.flush()
     best_valid, test_score = sgd_opt(train, valid, test,
-                                     training_epochs=1000000, patience=2500,
+                                     training_epochs=800000, patience=2000,
                                      patience_increase=2.,
                                      improvement_threshold=0.995,
                                      validation_frequency=500,