to calculate loss, configure the training op, and generate predictions. If
you're already experienced with CNNs and @{$get_started/custom_estimators$TensorFlow `Estimator`s},
and find the above code intuitive, you may want to skim these sections or just
-skip ahead to ["Training and Evaluating the CNN MNIST Classifier"](#training_and_evaluating_the_cnn_mnist_classifier).
+skip ahead to ["Training and Evaluating the CNN MNIST Classifier"](#train_eval_mnist).
### Input Layer
mode=mode, loss=loss, eval_metric_ops=eval_metric_ops)
```
-## Training and Evaluating the CNN MNIST Classifier {#training_and_evaluating_the_cnn_mnist_classifier}
+<a id="train_eval_mnist"></a>
+## Training and Evaluating the CNN MNIST Classifier
We've coded our MNIST CNN model function; now we're ready to train and evaluate
it.