diff --git a/README.md b/README.md
index 1a9400624b7b9cb8932a93192e20da1bfc342aa7..a2847f01fd11862b873fe74229701bf1d3c94025 100644
--- a/README.md
+++ b/README.md
@@ -10,22 +10,24 @@ This project is part of MSO 3.4 Automatic learning. The goal of the project is t
 ## Steps of the project
 
 1. Generating handwritten digits using the MNIST dataset.
-    a. Downloading the Dataset
-    b. Initialize weights
-    c. Define the generator and discriminator functions
-    d. Set up the optimizer and the loss
-    e. Train the model
-    f. Plot results
+-     Downloading the Dataset
+-     Initialize weights
+-     Define the generator and discriminator functions
+-     Set up the optimizer and the loss
+-     Train the model
+-     Plot results
+
 
 
 
 2. Generating Façade using  CMP Facade Dataset (download it)
-    a. Defining CGAN and U-net architecture
-    b. Define the Generator with a built-up U-net architecture
-    c. Define discriminator with conv-blocks.
-    d. Set up optimizer and loss functions
-    e. Train the model 
-    f. Plot results
+-     Defining CGAN and U-net architecture
+-     Define the Generator with a built-up U-net architecture
+-     Define discriminator with conv-blocks.
+-     Set up optimizer and loss functions
+-     Train the model 
+-     Plot results
+
 
 
 ## Contact