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polynomial-regression-core/index.js
@@ -44,7 +44,7 @@ const d = tf.variable(tf.scalar(Math.random()));
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// Step 2. Create an optimizer, we will use this later. You can play
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-// with some of these values to see how the model perfoms.
+// with some of these values to see how the model performs.
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const numIterations = 75;
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const learningRate = 0.5;
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const optimizer = tf.train.sgd(learningRate);
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