diff --git a/README.md b/README.md
index 964ab86..6316baf 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 # subsurface-ml-docker [![Build Status](https://travis-ci.org/softwareunderground/subsurface-ml-docker.svg?branch=master)](https://travis-ci.org/softwareunderground/subsurface-ml-docker)
-__A docker image fully loaded with Sufurface & ML related packages.__
+__A docker image fully loaded with Subsurface & ML related packages.__
 
 This is a very easy way to bring up a GPU capable ML environment on a linux machine. 
 
@@ -126,4 +126,4 @@ it there please and try using the nvidia-docker as described above.
 MIT
 
 # Credits
-This docker and Makefile layout was originally based on the [docker starter example in the keras repo](https://github.com/keras-team/keras/tree/master/docker). THe Docker file in particular has been customised to make it easier to see groups of related packages and add remove as necessary. But the makefile and instructions in this readme are pretty much as-is and lovely. The original repository available under [MIT here](https://github.com/keras-team/keras/blob/master/LICENSE)
\ No newline at end of file
+This docker and Makefile layout was originally based on the [docker starter example in the keras repo](https://github.com/keras-team/keras/tree/master/docker). THe Docker file in particular has been customised to make it easier to see groups of related packages and add remove as necessary. But the makefile and instructions in this readme are pretty much as-is and lovely. The original repository available under [MIT here](https://github.com/keras-team/keras/blob/master/LICENSE)