From d2d5b7400d2bdb413a2ce9a5b9a8b0717bfbedae Mon Sep 17 00:00:00 2001
From: Hammouda Elbez <hammouda.elbez@univ-lille.fr>
Date: Tue, 22 Nov 2022 09:55:40 +0100
Subject: [PATCH] ReadMe updated

---
 README.md | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index bce089e..16d4993 100644
--- a/README.md
+++ b/README.md
@@ -37,9 +37,17 @@ For example: to run MNIST simulation without compression and reinforcement:
 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
+First, run the simulation of the two dense layers using CSNN:
+    
+    ./MnistForSpiNNaker 0 0
+
+then
+
+    ./MnistForSpiNNaker 1 1
+
 To transfer the learned weights from CSNN to SpiNNaker, we use the following command:
 
-    ./Weight_extractor [binary file geenrated from a simulation] [name_layer]
+    ./Weight_extractor [binary file generated from a simulation] [name_layer]
 
 For example:
 
-- 
GitLab