Update README.md

ChunyuanLI · Jan 13, 2018 · 7381be8 · 7381be8
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 # Stein Variational Gradient Descent 
 
-Tensorflow implementation of Stein Variational Gradient Descent (SVGD)
+**Tensorflow implementation of Stein Variational Gradient Descent (SVGD)**
 
 
 SVGD is a general purpose variational inference algorithm that forms a natural counterpart of gradient descent for optimization. SVGD iteratively transports a set of particles to match with the target distribution, by applying a form of functional gradient descent that minimizes the KL divergence.
 
 
 Link:
-For official implementation information in Matlab and Theano, please visit the authors' project website - [SVGD](http://www.cs.dartmouth.edu/~dartml/project.html?p=vgd).
+for official implementation information in Matlab and Theano, please visit the authors' project website - [SVGD](http://www.cs.dartmouth.edu/~dartml/project.html?p=vgd).