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authorGravatar Asim Shankar <ashankar@google.com>2018-06-26 15:05:30 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-06-26 15:08:41 -0700
commit4529bcf62a275a50a59020e637f13a93ba4f7e6c (patch)
tree89add4ee45d83d34b47af3f96b0feb68b3acdf04
parente80e2a3803ff3d61e6729fb96295e74943d6610c (diff)
[Docs]: Fix #20270
PiperOrigin-RevId: 202201350
-rw-r--r--tensorflow/docs_src/mobile/tflite/demo_android.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/docs_src/mobile/tflite/demo_android.md b/tensorflow/docs_src/mobile/tflite/demo_android.md
index 480d66bbb6..1980fdeb66 100644
--- a/tensorflow/docs_src/mobile/tflite/demo_android.md
+++ b/tensorflow/docs_src/mobile/tflite/demo_android.md
@@ -1,7 +1,7 @@
# Android Demo App
An example Android application using TensorFLow Lite is available
-[on GitHub](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/java/demo/app).
+[on GitHub](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/java/demo).
The demo is a sample camera app that classifies images continuously
using either a quantized Mobilenet model or a floating point Inception-v3 model.
To run the demo, a device running Android 5.0 ( API 21) or higher is required.