Update README.md

README.md

@@ -20,6 +20,7 @@ The model was trained with images of 10 different cities in Colombia with most d
 The model was trained with satellite images of 10 different cities in Colombia extracted from sentinel-2 using RGB bands using an asymmetric autoencoder. Images with information that could result in noise such as black images were filtered prior to training to avoid noise in the data.
 
 The dataset was split into train and test using 80% for train and 20% to test.
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 ## Training procedure
 
 ### Training hyperparameters