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2 parents 3c19462 + 90c4406 commit 313b8f2Copy full SHA for 313b8f2
tensorflow/docs_src/get_started/mnist/beginners.md
@@ -367,7 +367,7 @@ train_step = tf.train.GradientDescentOptimizer(0.05).minimize(cross_entropy)
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In this case, we ask TensorFlow to minimize `cross_entropy` using the
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[gradient descent algorithm](https://en.wikipedia.org/wiki/Gradient_descent)
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-with a learning rate of 0.5. Gradient descent is a simple procedure, where
+with a learning rate of 0.05. Gradient descent is a simple procedure, where
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TensorFlow simply shifts each variable a little bit in the direction that
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reduces the cost. But TensorFlow also provides
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@{$python/train#Optimizers$many other optimization algorithms}:
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