From 3aa310771ef4f9842f5cea8380a557499768a86c Mon Sep 17 00:00:00 2001
From: Brussart Paul-emile <paul-emile.brussart@ecl19.ec-lyon.fr>
Date: Tue, 28 Mar 2023 16:20:03 +0000
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 2783fa2..8ce7a56 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ We recommand to use the notebook (.ipynb) but the Python script (.py) is also pr
 
 The purpose of this task is to explore Generative Adversarial Networks (GANs) and their implementation, specifically focusing on an architecture that enables image-to-image translation. 
 
-# Fake numbers generations
+# Fake numbers generation
 
  In the first part, we aim to learn and understand the basic concepts of Generative Adversarial Networks through a DCGAN and generate new handwritten numbers from the learned network after showing it real handwritten numbers. 
 
-- 
GitLab