From: Mark Daoust Date: Mon, 16 Apr 2018 22:53:08 +0000 (-0700) Subject: Curly-brace id's are inconsistently supported. X-Git-Tag: upstream/v1.9.0_rc1~292^2~1 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=b2b7d56869d38bf68873a097251d1463e3df640d;p=platform%2Fupstream%2Ftensorflow.git Curly-brace id's are inconsistently supported. Curly-brace id's are inconsistently supported. linking to the id of an html tag seems to be supported everywhere. --- diff --git a/tensorflow/docs_src/tutorials/layers.md b/tensorflow/docs_src/tutorials/layers.md index b24d3f4..6f88c54 100644 --- a/tensorflow/docs_src/tutorials/layers.md +++ b/tensorflow/docs_src/tutorials/layers.md @@ -192,7 +192,7 @@ dive deeper into the `tf.layers` code used to create each layer, as well as how 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 @@ -549,7 +549,8 @@ return tf.estimator.EstimatorSpec( mode=mode, loss=loss, eval_metric_ops=eval_metric_ops) ``` -## Training and Evaluating the CNN MNIST Classifier {#training_and_evaluating_the_cnn_mnist_classifier} + +## Training and Evaluating the CNN MNIST Classifier We've coded our MNIST CNN model function; now we're ready to train and evaluate it.