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Diffstat (limited to 'tensorflow/docs_src/guide/summaries_and_tensorboard.md')
| -rw-r--r-- | tensorflow/docs_src/guide/summaries_and_tensorboard.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/docs_src/guide/summaries_and_tensorboard.md b/tensorflow/docs_src/guide/summaries_and_tensorboard.md index 6177c3393b..788c556b9d 100644 --- a/tensorflow/docs_src/guide/summaries_and_tensorboard.md +++ b/tensorflow/docs_src/guide/summaries_and_tensorboard.md @@ -36,7 +36,7 @@ lifecycle for summary data within TensorBoard. First, create the TensorFlow graph that you'd like to collect summary data from, and decide which nodes you would like to annotate with -@{$python/summary$summary operations}. +[summary operations](../api_guides/python/summary.md). For example, suppose you are training a convolutional neural network for recognizing MNIST digits. You'd like to record how the learning rate @@ -53,7 +53,7 @@ this data by attaching the gradient outputs and to the variable that holds your weights, respectively. For details on all of the summary operations available, check out the docs on -@{$python/summary$summary operations}. +[summary operations](../api_guides/python/summary.md). Operations in TensorFlow don't do anything until you run them, or an op that depends on their output. And the summary nodes that we've just created are @@ -74,7 +74,7 @@ Also, the `FileWriter` can optionally take a `Graph` in its constructor. If it receives a `Graph` object, then TensorBoard will visualize your graph along with tensor shape information. This will give you a much better sense of what flows through the graph: see -@{$graph_viz#tensor-shape-information$Tensor shape information}. +[Tensor shape information](../guide/graph_viz.md#tensor-shape-information). Now that you've modified your graph and have a `FileWriter`, you're ready to start running your network! If you want, you could run the merged summary op @@ -219,7 +219,7 @@ When looking at TensorBoard, you will see the navigation tabs in the top right corner. Each tab represents a set of serialized data that can be visualized. For in depth information on how to use the *graph* tab to visualize your graph, -see @{$graph_viz$TensorBoard: Graph Visualization}. +see [TensorBoard: Graph Visualization](../guide/graph_viz.md). For more usage information on TensorBoard in general, see the [TensorBoard GitHub](https://github.com/tensorflow/tensorboard). |