Update README.md

README.md

@@ -26,7 +26,7 @@ Conference
 We would like to build a data-driven model to reconstruct CT images. The model should be evaluated on the LoDoPaB challenge. (https://lodopab.grand-challenge.org/) 
 
 ## How to run
-We will be using the jupyter notebook from the server mathgpu1, provided by Uni-Hamburg.   
+We will be using the CUDAs available from the server mathgpu1, provided by Uni-Hamburg. 
 
 # clone project   
 git clone https://gitlab.rrz.uni-hamburg.de/BAT9096/deepinverse.git
@@ -36,7 +36,7 @@ Not yet ready.
 
 # run module (example: mnist as your main contribution)
 We will using the data provided by zonodo.org.  LoDoPaB-CT Dataset.
-There will be two data sets, 1. with more than 50GB as zip and the other 3GB as Zip. We will focus more on training the 3GB data first.
+There will be two data sets, 1. with more than 50GB as zip and the other 3GB as Zip.
 
 
 ## Imports