From 6369e3025721378e5f13797e77971d49f60ffa31 Mon Sep 17 00:00:00 2001
From: Arthur DANJOU <arthurdanjou@outlook.fr>
Date: Thu, 6 Nov 2025 09:06:36 +0100
Subject: [PATCH] =?UTF-8?q?Met=20=C3=A0=20jour=20le=20compteur=20d'ex?=
 =?UTF-8?q?=C3=A9cution,=20r=C3=A9organise=20les=20importations=20et=20mod?=
 =?UTF-8?q?ifie=20la=20version=20de=20Python=20dans=20le=20notebook=20TP2?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .../TP2/TP2 - Bonus Starter _ ResNet.ipynb        | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/M2/Deep Learning/TP2/TP2 - Bonus Starter _ ResNet.ipynb b/M2/Deep Learning/TP2/TP2 - Bonus Starter _ ResNet.ipynb
index 8a385bf..b1f53a9 100644
--- a/M2/Deep Learning/TP2/TP2 - Bonus Starter _ ResNet.ipynb	
+++ b/M2/Deep Learning/TP2/TP2 - Bonus Starter _ ResNet.ipynb	
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -22,13 +22,14 @@
     "\n",
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns; sns.set(style='whitegrid')\n",
+    "import seaborn as sns\n",
+    "\n",
+    "sns.set(style='whitegrid')\n",
     "\n",
     "import tensorflow as tf\n",
-    "from tensorflow import keras\n",
-    "\n",
-    "from sklearn.preprocessing import StandardScaler\n",
     "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from tensorflow import keras\n",
     "\n",
     "(X_train_full, y_train_full), (X_test, y_test) = (keras.datasets.fashion_mnist.load_data())\n",
     "X_train, X_valid, y_train, y_valid = train_test_split(X_train_full, y_train_full, train_size=0.8)\n",
@@ -124,7 +125,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "studies",
    "language": "python",
    "name": "python3"
   },
@@ -138,7 +139,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.13.3"
   }
  },
  "nbformat": 4,