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Diffstat (limited to 'tensorflow/docs_src/tutorials/image_retraining.md')
| -rw-r--r-- | tensorflow/docs_src/tutorials/image_retraining.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/docs_src/tutorials/image_retraining.md b/tensorflow/docs_src/tutorials/image_retraining.md index 898db0e73c..b0e715edcb 100644 --- a/tensorflow/docs_src/tutorials/image_retraining.md +++ b/tensorflow/docs_src/tutorials/image_retraining.md @@ -137,7 +137,7 @@ Once TensorBoard is running, navigate your web browser to `localhost:6006` to vi The script will log TensorBoard summaries to `/tmp/retrain_logs` by default. You can change the directory with the `--summaries_dir` flag. -The [TensorBoard README](https://www.tensorflow.org/code/tensorflow/tensorboard/README.md) has a lot more information on TensorBoard usage, including tips & tricks, and debugging information. +The [TensorBoard's GitHub](https://github.com/tensorflow/tensorboard) has a lot more information on TensorBoard usage, including tips & tricks, and debugging information. ## Using the Retrained Model @@ -337,7 +337,7 @@ the (much larger) training set. By default the script uses a pretrained version of the Inception v3 model architecture. This is a good place to start because it provides high accuracy -results, but if you intend to deploy your model on mobile devices or other +results, but if you intend to deploy your model on mobile devices or other resource-constrained environments you may want to trade off a little accuracy for much smaller file sizes or faster speeds. To help with that, the [retrain.py script](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py) |