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2 parents ab99a65 + 392a667 commit ca907abCopy full SHA for ca907ab
examples/2_BasicModels/linear_regression.py
@@ -33,7 +33,7 @@
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b = tf.Variable(rng.randn(), name="bias")
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# Construct a linear model
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-pred = tf.add(tf.mul(X, W), b)
+pred = tf.add(tf.multiply(X, W), b)
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# Mean squared error
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cost = tf.reduce_sum(tf.pow(pred-Y, 2))/(2*n_samples)
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