message: Fix README formatting.
diff: 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
  