modify readme.md

README.md

@@ -3,7 +3,7 @@ A tensorflow implementation of Junbo et al's Energy-based generative adversarial
 ( See : [https://arxiv.org/pdf/1609.03126v2.pdf](https://arxiv.org/pdf/1609.03126v2.pdf) )
 My implementation is somewhat different from original papers, for example I've used convolution layers
 in both generator and discriminator instead of fully connected layers.
-I think this isn't important and will not make a big difference in final result.
+I think this isn't important and will not make a big difference in the final result.
 
 ## Dependencies
 
@@ -39,6 +39,7 @@ This image was generated by EBGAN network.
 
 1. [Original GAN tensorflow implementation](https://github.com/buriburisuri/sugartensor/blob/master/sugartensor/example/mnist_gan.py)
 1. [InfoGAN tensorflow implementation](https://github.com/buriburisuri/sugartensor/blob/master/sugartensor/example/mnist_info_gan.py)
+1. [Supervised InfoGAN tensorflow implementation](https://github.com/buriburisuri/supervised_infogan)
 
 # Authors
 Namju Kim ([email protected]) at Jamonglabs Co., Ltd.