To store a graph, create a tf.summary.FileWriter and pass the graph either via the constructor, or by calling its add_graph() method. You may want to check out the graph visualizer tutorial .
tf.summary.FileWriter
add_graph()
Probable causes:
tf.train.Saver
saver.save(session, LOG_DIR/model.ckpt, step)
If you're new to using TensorBoard, and want to find out how to add data and set up your event files, check out the README and perhaps the TensorBoard tutorial .
If you think TensorBoard is configured properly, please see the section of the README devoted to missing data problems and consider filing an issue on GitHub.
Alerts are sorted from top to bottom by increasing timestamp.
No numeric alerts so far. That is likely good. Alerts indicate the presence of NaN or (+/-) Infinity values, which may be concerning.
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Load data from your computer Load data Publish your embedding visualization and data Publish
If you'd like to share your visualization with the world, follow these simple steps. See this tutorial for more.
Host tensors, metadata, sprite image, and bookmarks TSV files publicly on the web.
One option is using a github gist. If you choose this approach, make sure to link directly to the raw file.
Nearest points in the original space:
Re-run Stop
Iteration: 0
For fast results, the data will be sampled down to [[getTsneSampleSizeText()]] points.
How to use t-SNE effectively.
PCA is approximate.