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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2017-12-22 12:42:59 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-12-22 12:46:28 -0800 |
commit | e4532d20973c4c00854492362665317551661c18 (patch) | |
tree | 398527e29bd30d39237adb4785be5069fdb646fa /tensorflow/docs_src/mobile | |
parent | 673641c2d6a27fa97ee05453d671853731a4c602 (diff) |
Merge changes from github.
PiperOrigin-RevId: 179953488
Diffstat (limited to 'tensorflow/docs_src/mobile')
-rw-r--r-- | tensorflow/docs_src/mobile/tflite/index.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/docs_src/mobile/tflite/index.md b/tensorflow/docs_src/mobile/tflite/index.md index 49d93669a2..6c4589d693 100644 --- a/tensorflow/docs_src/mobile/tflite/index.md +++ b/tensorflow/docs_src/mobile/tflite/index.md @@ -155,7 +155,7 @@ retraining for both floating point and quantized inference. The following diagram shows the architectural design of TensorFlow Lite: -<img src = "/images/tflite-architecture.jpg"> +![tensorflow lite architecture](https://www.tensorflow.org/images/tflite-architecture.jpg) Starting with a trained TensorFlow model on disk, you'll convert that model to the TensorFlow Lite file format (`.tflite`) using the TensorFlow Lite |