Commit 67a1de7

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rewrite the logistic regression cost function

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Original file line number	Diff line number	Diff line change
`@@ -23,7 +23,7 @@ def sigmoid(x):`
`23`	`23`	`w = tf.Variable([0., 0., 0.], name="w", trainable=True)`
`24`	`24`
`25`	`25`	`y_model = tf.sigmoid(-(w[2] * X2 + w[1] * X1 + w[0]))`
`26`		`-cost = tf.reduce_mean(-tf.log(y_model * Y +(1 - y_model) * (1 - Y)))`
	`26`	`+cost = tf.reduce_mean(-tf.log(y_model) * Y -tf.log(1 - y_model) * (1 - Y))`
`27`	`27`	`train_op = tf.train.GradientDescentOptimizer(learning_rate).minimize(cost)`
`28`	`28`
`29`	`29`	`with tf.Session() as sess:`

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