Update README.md

Author: ranganathkrishnan

README.md

@@ -40,6 +40,7 @@ Please refer to [documentation](doc/bayesian_torch.layers.md#layers) of Bayesian
 Other features include:
 - [x] MOPED: specifying weight priors and variational posteriors with Empirical Bayes [[Krishnan et al. 2019](https://arxiv.org/abs/1906.05323)]
 - [ ] AvUC: Accuracy versus Uncertainty Calibration [[Krishnan et al. 2020](https://proceedings.neurips.cc/paper/2020/file/d3d9446802a44259755d38e6d163e820-Paper.pdf)]
+- [ ] dnn_to_bnn: An API to convert deterministic deep neural network (dnn) model of any architecture to Bayesian deep neural network (bnn) model, simplifying the model definition by replacing neural network layers with corresponding Bayesian layers (`updating soon...`)
 
 
 ## Installation