Fix README formatting.
authorSuharsh Sivakumar <suharshs@google.com>
Tue, 6 Mar 2018 21:40:16 +0000 (13:40 -0800)
committerTensorFlower Gardener <gardener@tensorflow.org>
Tue, 6 Mar 2018 21:47:01 +0000 (13:47 -0800)
PiperOrigin-RevId: 188073454

tensorflow/contrib/quantize/README.md

index 8b0e7bb..348c824 100644 (file)
@@ -3,8 +3,7 @@
 tf.contrib.quantize provides tools for transforming graphs to include ops to
 model quantization of weights, biases and activations during both training and
 inference. This is done using the
-[fake quantization op]
-(https://www.tensorflow.org/versions/r0.12/api_docs/python/array_ops/fake_quantization).
+[fake quantization op](https://www.tensorflow.org/versions/r0.12/api_docs/python/array_ops/fake_quantization).
 
 Recent literature has shown that fixed point networks provide comparable
 performance to floating point networks [1]. This is achieved by modeling the