fix: sigmoid function comment

phutoan31299 · Jun 14, 2018 · f515423 · f515423
1 parent 905b3d0
commit f515423
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/lab-05-2-logistic_regression_diabetes.py b/lab-05-2-logistic_regression_diabetes.py
@@ -16,7 +16,7 @@
 W = tf.Variable(tf.random_normal([8, 1]), name='weight')
 b = tf.Variable(tf.random_normal([1]), name='bias')
 
-# Hypothesis using sigmoid: tf.div(1., 1. + tf.exp(tf.matmul(X, W)))
+# Hypothesis using sigmoid: tf.div(1., 1. + tf.exp(-tf.matmul(X, W)))
 hypothesis = tf.sigmoid(tf.matmul(X, W) + b)
 
 # cost/loss function