diff --git a/ex4/randInitializeWeights.m b/ex4/randInitializeWeights.m
index 59eaec7..34c644d 100644
--- a/ex4/randInitializeWeights.m
+++ b/ex4/randInitializeWeights.m
@@ -1,15 +1,15 @@
 function W = randInitializeWeights(L_in, L_out)
 %RANDINITIALIZEWEIGHTS Randomly initialize the weights of a layer with L_in
 %incoming connections and L_out outgoing connections
-%   W = RANDINITIALIZEWEIGHTS(L_in, L_out) randomly initializes the weights 
-%   of a layer with L_in incoming connections and L_out outgoing 
-%   connections. 
+%   W = RANDINITIALIZEWEIGHTS(L_in, L_out) randomly initializes the weights
+%   of a layer with L_in incoming connections and L_out outgoing
+%   connections.
 %
 %   Note that W should be set to a matrix of size(L_out, 1 + L_in) as
 %   the column row of W handles the "bias" terms
 %
 
-% You need to return the following variables correctly 
+% You need to return the following variables correctly
 W = zeros(L_out, 1 + L_in);
 
 % ====================== YOUR CODE HERE ======================
@@ -19,13 +19,8 @@ W = zeros(L_out, 1 + L_in);
 % Note: The first row of W corresponds to the parameters for the bias units
 %
 
-
-
-
-
-
-
-
+epsilon_init = 0.12;
+W = rand(L_out, 1 + L_in) * 2 * epsilon_init - epsilon_init;
 
 % =========================================================================