From 0f0daefb1a3da4235f9f0073a7dd67977f2e51c7 Mon Sep 17 00:00:00 2001
From: Ben Akka Zakariae <zakariae.ben-akka@etu.ec-lyon.fr>
Date: Fri, 1 Dec 2023 22:13:20 +0000
Subject: [PATCH] Replace TD2_Deep_Learning.ipynb
---
TD2_Deep_Learning.ipynb | 7 +++++++
1 file changed, 7 insertions(+)
diff --git a/TD2_Deep_Learning.ipynb b/TD2_Deep_Learning.ipynb
index defd5b0..29ef64c 100644
--- a/TD2_Deep_Learning.ipynb
+++ b/TD2_Deep_Learning.ipynb
@@ -2630,6 +2630,13 @@
"**Second network based on Resnet18 CNN model, with a classification layer composed of two layers and dimension of hidden layer is 256. We use \"dropout mechanism for both layers**"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Dropout is a regularization technique commonly employed in Convolutional Neural Network (CNN) models to prevent overfitting. During training, random neurons or units within the network are temporarily \"dropped out\" or deactivated with a certain probability. This forces the network to learn more robust features and reduces its reliance on specific neurons, enhancing generalization to new data."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 41,
--
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