add quantization example to readme

example/README.md

@@ -120,6 +120,7 @@ If your tutorial depends on specific packages, simply add them to this provision
 * [Model Parallelism](model-parallel) - various model parallelism examples
     * [Model Parallelism with LSTM](model-parallel/lstm) - an example showing how to do model parallelism with a LSTM
     * [Model Parallelism with Matrix Factorization](model-parallel/lstm) - a matrix factorization algorithm for recommendations
+* [Model Quantization with Calibration Examples](quantization) - examples of quantizing a FP32 model with Intel® MKL-DNN or CUDNN
 * [Module API](module) - examples with the Python Module API
 * [Multi-task Learning](multi-task) - how to use MXNet for multi-task learning
 * [MXNet Adversarial Variational Autoencoder](mxnet_adversarial_vae) - combines a variational autoencoder with a generative adversarial network