Update URL again.

docs/deeplearning/DeepLearningRVignette.tex

@@ -38,7 +38,7 @@ \section{Introduction} \label{1}
 accuracy. H2O is the world’s fastest open-source in-memory platform for machine
 learning and predictive analytics on big data.
 
-This documentation presents the Deep Learning framework in H2O, as experienced through the H2O R interface. Further documentation on H2O's system and algorithms can be found at the H2O.ai \href{http://docs.h2o.ai}{website} at http://docs.h2o.ai, especially the ``R User documentation", and fully featured tutorials are available at \href{http://learn.h2o.ai} at http://learn.h2o.ai. The datasets, R code and instructions for this document can be found at the \href{https://github.com/h2oai/h2o/tree/master/docs/deeplearning/DeepLearningRVignetteDemo}{H2O GitHub repository} at \\https://github.com/h2oai/h2o/tree/master/docs/deeplearning/DeepLearningRVignetteDemo/. This introductory section provides instructions on getting H2O started from R, followed by a brief overview of deep learning.
+This documentation presents the Deep Learning framework in H2O, as experienced through the H2O R interface. Further documentation on H2O's system and algorithms can be found at \href{http://docs.h2o.ai}{http://docs.h2o.ai}, especially the ``R User documentation", and fully featured tutorials are available at \href{http://learn.h2o.ai}{http://learn.h2o.ai}. The datasets, R code and instructions for this document can be found at the \href{https://github.com/h2oai/h2o/tree/master/docs/deeplearning/DeepLearningRVignetteDemo}{H2O GitHub repository} at \\https://github.com/h2oai/h2o/tree/master/docs/deeplearning/DeepLearningRVignetteDemo/. This introductory section provides instructions on getting H2O started from R, followed by a brief overview of deep learning.
 
 \subsection{Installation} \label{1.1}