From cc8db4d6a29f06ceb881fcf15624550e0cc829ec Mon Sep 17 00:00:00 2001
From: Hammouda Elbez <hammouda.elbez@univ-lille.fr>
Date: Mon, 21 Nov 2022 11:21:34 +0100
Subject: [PATCH] ReadMe updated

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 44d2c10..bce089e 100644
--- a/README.md
+++ b/README.md
@@ -20,7 +20,7 @@ Run the following commands inside the CSNN folder:
 Remember to build again if you change the source code.
 
 ### How to use CSNN
-Once the `make` command is finished, you should see binary files which represent each simulation.
+Once the `make` command is done, you should see binary files representing each simulation.
 
 Run a simulation:
 
@@ -34,7 +34,7 @@ For example: to run MNIST simulation without compression and reinforcement:
 
     ./Mnist 0 0
 
-In the `apps` folder, you find the source code for each simulation where you can change the architecture, the network parameters, or activate the [layerwise compression](https://gitlab.univ-lille.fr/hammouda.elbez/progressive-layer-based-compression-for-convolutional-spiking-neural-network/-/blob/main/CSNN-Simulator/apps/Mnist.cpp#L21).
+In the `apps` folder, you will find the source code for each simulation, where you can change the architecture and the network parameters or activate the [layerwise compression](https://gitlab.univ-lille.fr/hammouda.elbez/progressive-layer-based-compression-for-convolutional-spiking-neural-network/-/blob/main/CSNN-Simulator/apps/Mnist.cpp#L21).
 
 ## Going from CSNN to SpiNNaker
 To transfer the learned weights from CSNN to SpiNNaker, we use the following command:
-- 
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