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| author |  Billy Lamberta <blamb@google.com> | 2018-09-20 18:07:08 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-20 18:11:16 -0700 |
| commit | 7d18cafbe79aecb0f5d703270771b9207866d886 (patch) | |
| tree | 79ea4fe6f0d5916470ad75aec665166c3db14224 /tensorflow/contrib/lite/tutorials | |
| parent | 9c81bb7308b0cbec609aa0d9c7a4bed7c4545111 (diff) | |
Update links to tf lite site.
PiperOrigin-RevId: 213917881
Diffstat (limited to 'tensorflow/contrib/lite/tutorials')
| -rw-r--r-- | tensorflow/contrib/lite/tutorials/post_training_quant.ipynb | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/lite/tutorials/post_training_quant.ipynb b/tensorflow/contrib/lite/tutorials/post_training_quant.ipynb index 82abbc1532..80cdb2f080 100644 --- a/tensorflow/contrib/lite/tutorials/post_training_quant.ipynb +++ b/tensorflow/contrib/lite/tutorials/post_training_quant.ipynb @@ -36,7 +36,7 @@ "source": [ "## Overview\n", "\n", - "[TensorFlow Lite](https://www.tensorflow.org/mobile/tflite/) now supports\n", + "[TensorFlow Lite](https://www.tensorflow.org/lite/) now supports\n", "converting weights to 8 bit precision as part of model conversion from\n", "tensorflow graphdefs to TFLite's flat buffer format. Weight quantization\n", "achieves a 4x reduction in the model size. In addition, TFLite supports on the\n", |