Add weight normalization

1 files changed, 1 insertions, 1 deletions

diff --git a/README.md b/README.md
index 34e8530..4d39632 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ A PyTorch implementation of [SampleRNN: An Unconditional End-to-End Neural Audio
 
 ![A visual representation of the SampleRNN architecture](http://deepsound.io/images/samplernn.png)
 
-It's based on the reference implementation in Theano: https://github.com/soroushmehr/sampleRNN_ICLR2017. Unlike the Theano version, our code allows training models with arbitrary number of tiers, whereas the original implementation allows maximum 3 tiers. However it doesn't have weight normalization and doesn't allow using LSTM units (only GRU). For more details and motivation behind rewriting this model to PyTorch, see our blog post: http://deepsound.io/samplernn_pytorch.html.
+It's based on the reference implementation in Theano: https://github.com/soroushmehr/sampleRNN_ICLR2017. Unlike the Theano version, our code allows training models with arbitrary number of tiers, whereas the original implementation allows maximum 3 tiers. However it doesn't allow using LSTM units (only GRU). For more details and motivation behind rewriting this model to PyTorch, see our blog post: http://deepsound.io/samplernn_pytorch.html.
 
 ## Dependencies