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4 changes: 2 additions & 2 deletions get_started/embedding_viz.md
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Expand Up @@ -39,7 +39,7 @@ labels/images to the data points. You can do this by generating a
[metadata file](#metadata) containing the labels for each point and configuring
the projector either by using our Python API, or manually constructing and
saving a
<code>[projector_config.pbtxt](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/tensorboard/plugins/projector/projector_config.proto)</code>
<code>[projector_config.pbtxt](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/projector/projector_config.proto)</code>
in the same directory as your checkpoint file.

## Setup
Expand Down Expand Up @@ -68,7 +68,7 @@ saver.save(session, os.path.join(LOG_DIR, "model.ckpt"), step)

If you have any metadata (labels, images) associated with your embedding, you
can tell TensorBoard about it either by directly storing a
<code>[projector_config.pbtxt](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/tensorboard/plugins/projector/projector_config.proto)</code>
<code>[projector_config.pbtxt](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/plugins/projector/projector_config.proto)</code>
in the <code>LOG_DIR</code>, or use our python API.

For instance, the following <code>projector_config.ptxt</code> associates the
Expand Down