Refactor code for improved readability and consistency across multiple Jupyter notebooks

- Added missing commas in various print statements and function calls for better syntax.
- Reformatted code to enhance clarity, including breaking long lines and aligning parameters.
- Updated function signatures to use float type for sigma parameters instead of int for better precision.
- Cleaned up comments and documentation strings for clarity and consistency.
- Ensured consistent formatting in plotting functions and data handling.

M2/Deep Learning/TP2 - Convolution/TP2 - Bonus Starter _ ResNet.ipynb

@@ -18,15 +18,12 @@
    "outputs": [],
    "source": [
     "import numpy as np\n",
-    "import pandas as pd\n",
     "\n",
     "%matplotlib inline\n",
-    "import matplotlib.pyplot as plt\n",
     "import seaborn as sns\n",
     "\n",
     "sns.set(style=\"whitegrid\")\n",
     "\n",
-    "import tensorflow as tf\n",
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.preprocessing import StandardScaler\n",
     "from tensorflow import keras\n",
@@ -35,18 +32,29 @@
     "    keras.datasets.fashion_mnist.load_data()\n",
     ")\n",
     "X_train, X_valid, y_train, y_valid = train_test_split(\n",
-    "    X_train_full, y_train_full, train_size=0.8\n",
+    "    X_train_full,\n",
+    "    y_train_full,\n",
+    "    train_size=0.8,\n",
     ")\n",
     "\n",
     "scaler = StandardScaler()\n",
     "X_train = scaler.fit_transform(X_train.astype(np.float32).reshape(-1, 28 * 28)).reshape(\n",
-    "    -1, 28, 28, 1\n",
+    "    -1,\n",
+    "    28,\n",
+    "    28,\n",
+    "    1,\n",
     ")\n",
     "X_valid = scaler.transform(X_valid.astype(np.float32).reshape(-1, 28 * 28)).reshape(\n",
-    "    -1, 28, 28, 1\n",
+    "    -1,\n",
+    "    28,\n",
+    "    28,\n",
+    "    1,\n",
     ")\n",
     "X_test = scaler.transform(X_test.astype(np.float32).reshape(-1, 28 * 28)).reshape(\n",
-    "    -1, 28, 28, 1\n",
+    "    -1,\n",
+    "    28,\n",
+    "    28,\n",
+    "    1,\n",
     ")"
    ]
   },