diff --git a/caliGraph.py b/caliGraph.py
index 890bc3c..248100d 100755
--- a/caliGraph.py
+++ b/caliGraph.py
@@ -841,7 +841,7 @@ def evaluateFitness(books, debugPrint=False):
     fit = sum(errSq)/len(errSq) + 0.005*regressionLoss + 0.2*boundsLoss/len(ratedBooks) - 1.0*sum(linSepLoss)/len(linSepLoss)
     return fit, gradient
 
-def train(initGamma = 1, full=True):
+def train(initGamma, full=True):
     global weights
     if full:
         for wt in weights:
@@ -854,12 +854,12 @@ def train(initGamma = 1, full=True):
     best_mse = mse
     stagLen = 0
 
-    while gamma > 3.0e-06 and delta > 3.0e-05 or best_mse > 3:
+    while gamma > 3.0e-05 and delta > 3.0e-05 or best_mse > 3:
         last_mse = mse
         print({'mse': mse, 'gamma': gamma, 'delta': delta})
         delta = sum(gradient[g]**2 for g in gradient)
         for wt in weights:
-            weights[wt] += gamma*gradient[wt]
+            weights[wt] += gamma*gradient[wt]/math.sqrt(delta)
         mse, gradient = evaluateFitness(books)
         if mse < last_mse:
             gamma = gamma*1.25
@@ -932,7 +932,7 @@ def cliInterface():
     p_show.add_argument('-d', type=float, default=2.7, help='depth of expansion')
 
     p_train = cmds.add_parser('train', description="TODO", aliases=[])
-    p_train.add_argument('-g', type=float, default=1, help='learning rate gamma')
+    p_train.add_argument('-g', type=float, default=0.1, help='learning rate gamma')
     p_train.add_argument('--full', action="store_true")
 
     p_full = cmds.add_parser('full', description="TODO", aliases=[])
diff --git a/neuralWeights.json b/neuralWeights.json
index 6d9fd85..b16e6df 100644
--- a/neuralWeights.json
+++ b/neuralWeights.json
@@ -1 +1 @@
-{"topList": 0.7565347246764587, "recommender": 0.6271368623961752, "author": 1.835086355564805, "series": 0.05208524913006312, "tag": 0.0035089366917880893, "mu": 0.6199999161572797, "sigma": 0.0711803151840928, "se": 0.5310718593481506, "bias": 0.5726915883403473}
\ No newline at end of file
+{"topList": 0.46904994817058576, "recommender": 0.5105580165380674, "author": 1.2017599208712688, "series": 0.08101540889409455, "tag": 0.01759005368430446, "mu": 0.6921620983533125, "sigma": 0.016831028550919676, "se": 0.3363180764359938, "bias": 0.15960517748561318}
\ No newline at end of file