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Diffstat (limited to 'tensorflow/examples/image_retraining/README.md')
| -rw-r--r-- | tensorflow/examples/image_retraining/README.md | 21 |
1 files changed, 12 insertions, 9 deletions
diff --git a/tensorflow/examples/image_retraining/README.md b/tensorflow/examples/image_retraining/README.md index 8a49525c6e..3f0b3d1268 100644 --- a/tensorflow/examples/image_retraining/README.md +++ b/tensorflow/examples/image_retraining/README.md @@ -1,12 +1,15 @@ -retrain.py is an example script that shows how one can adapt a pretrained -network for other classification problems. A detailed overview of this script -can be found at: -https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/#0 +**NOTE: This code has moved to** +https://github.com/tensorflow/hub/tree/master/examples/image_retraining -The script also shows how one can train layers -with quantized weights and activations instead of taking a pre-trained floating -point model and then quantizing weights and activations. -The output graphdef produced by this script is compatible with the TensorFlow -Lite Optimizing Converter and can be converted to TFLite format. +retrain.py is an example script that shows how one can adapt a pretrained +network for other classification problems (including use with TFLite and +quantization). +As of TensorFlow 1.7, it is recommended to use a pretrained network from +TensorFlow Hub, using the new version of this example found in the location +above, as explained in TensorFlow's revised [image retraining +tutorial](https://www.tensorflow.org/tutorials/image_retraining). +Older versions of this example (using frozen GraphDefs instead of +TensorFlow Hub modules) are available in the release branches of +TensorFlow versions up to and including 1.7. |