diff --git a/neuralnet.py b/neuralnet.py
index f7d86d1..f222f11 100644
--- a/neuralnet.py
+++ b/neuralnet.py
@@ -77,7 +77,7 @@ def cross_entropy_loss(a, y):
 		return np.sum(np.nan_to_num(-y*np.log(a)-(1-y)*np.log(1-a)))
 
 	def log_likelihood_loss(a, y):
-		return -np.dot(y, softmax(a).transpose())
+		return -np.nan_to_num(np.log(np.dot(y, softmax(a).transpose())))
 
 	def delta(a, y):
 		""" delta for both activations works out to be the same"""
@@ -97,4 +97,4 @@ def derivative(z, fn):
 			f = sigmoid
 		elif fn == SOFTMAX:
 			f = softmax
-		return f(z)*(1-f(z))
\ No newline at end of file
+		return f(z)*(1-f(z))