adams opt

hoathienvu8x · Oct 20, 2017 · 9eebece · 9eebece
1 parent e35892b
commit 9eebece
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/python implementation/recurrent_neural_net.py b/python implementation/recurrent_neural_net.py
@@ -260,9 +260,9 @@ def adam_update(self, M, R, grad, t, beta1=.9, beta2=.999):
 
 	def gradient_update(self, grads, t, M, R):
 		# grads must have the keys and values like those returned from backward_propagate
-#		self.adam_update(M, R, grads, t)
+		self.adam_update(M, R, grads, t)
 
-		self.gradient_descent(grads, t)
+#		self.gradient_descent(grads, t)
 
 	def print_max_min_parameter(self, key):