Update README.md

README.md

@@ -10,23 +10,23 @@ 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.
--     Downloading the Dataset
--     Initialize weights
--     Define the generator and discriminator functions
--     Set up the optimizer and the loss
--     Train the model
--     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)
--     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
+- 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