mirror of
https://github.com/ArthurDanjou/ArtStudies.git
synced 2026-01-14 15:54:13 +01:00
- Adjusted indentation and line breaks for better clarity in function definitions and import statements. - Standardized string quotes for consistency across the codebase. - Enhanced readability of DataFrame creation and manipulation by breaking long lines into multiple lines. - Cleaned up print statements and comments for improved understanding. - Ensured consistent use of whitespace around operators and after commas.
316 lines
143 KiB
Plaintext
316 lines
143 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Séance 1 - Bonus : Première régularisation d'un réseau de neurones\n",
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"\n",
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"Pour poursuivre le travail du TP, on se propose d'explorer une première manière de régulariser un réseau de neurones. Nous avons vu que nous pouvions atteindre de bonne performances, mais que cela entraînait fréquemment un sur-apprentissage. \n",
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"Une des premières manières de régulariser que l'on apprend en Machine Learning est de pénaliser une régression linéaire : c'est la régression Ridge. Le principe est de modifier la fonction de perte pour contraindre les poids appris à être *petit*. Il est possible de le faire couche par couche dans un réseau de neurones. Essayons !\n",
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"\n",
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"Commençons par importer et traiter les données."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"\n",
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"%matplotlib inline\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"\n",
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"sns.set(style=\"whitegrid\")\n",
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"\n",
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"import tensorflow as tf\n",
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"from sklearn.model_selection import train_test_split\n",
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"from sklearn.preprocessing import StandardScaler\n",
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"from tensorflow import keras\n",
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"\n",
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"(X_train_full, y_train_full), (X_test, y_test) = keras.datasets.mnist.load_data()\n",
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"X_train, X_valid, y_train, y_valid = train_test_split(\n",
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" X_train_full, y_train_full, train_size=0.8\n",
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")\n",
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"\n",
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"scaler = StandardScaler()\n",
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"X_train = scaler.fit_transform(X_train.astype(np.float32).reshape(-1, 28 * 28)).reshape(\n",
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" -1, 28, 28\n",
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")\n",
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"X_valid = scaler.transform(X_valid.astype(np.float32).reshape(-1, 28 * 28)).reshape(\n",
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" -1, 28, 28\n",
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")\n",
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"X_test = scaler.transform(X_test.astype(np.float32).reshape(-1, 28 * 28)).reshape(\n",
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" -1, 28, 28\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Pénalisation $L_2$\n",
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"\n",
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"La pénalisation à laquelle on s'intéresse ici est la pénalisation $L_2$. Si l'on considère un problème d'optimisation d'une fonction de perte $\\mathcal{L}$\n",
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"\n",
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"$$w^* = \\arg\\min_{w\\in\\mathbb{R}^d} \\mathcal{L}(w)$$\n",
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"\n",
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"Alors sa version pénalisée est la suivante avec $\\lambda > 0$ :\n",
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"\n",
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"$$w^* = \\arg\\min_{w\\in\\mathbb{R}^d} \\mathcal{L}(w) + \\lambda\\|w\\|^2$$\n",
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"\n",
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"Ce n'est plus exactement le même objectif puisqu'on force ici le vecteur solution $w^*$ a prendre de plus petite valeurs. Nous pouvons faire cela couche par couche.\n",
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"\n",
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"**Consigne** : Définir un modèle en ajoutant une pénalisation [$L_2$](https://keras.io/api/layers/regularizers/#l2-class) aux couches [`Dense`](https://keras.io/api/layers/core_layers/dense/)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"model = keras.models.Sequential(\n",
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" [\n",
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" keras.layers.Input(shape=[28, 28]),\n",
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" keras.layers.Flatten(),\n",
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" keras.layers.Dense(\n",
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" 256, activation=\"relu\", kernel_regularizer=keras.regularizers.l2(0.001)\n",
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" ),\n",
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" keras.layers.Dense(\n",
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" 128, activation=\"relu\", kernel_regularizer=keras.regularizers.l2(0.001)\n",
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" ),\n",
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" keras.layers.Dense(10, activation=\"softmax\"),\n",
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" ]\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Consigne** : Lancer sur quelques époques le modèle pour valider qu'il fonctionne correctement."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 1/5\n",
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"\u001b[1m1500/1500\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 1ms/step - accuracy: 0.6287 - loss: 1.8807 - val_accuracy: 0.8105 - val_loss: 1.3201\n",
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"Epoch 2/5\n",
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"\u001b[1m1500/1500\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 983us/step - accuracy: 0.8471 - loss: 1.1539 - val_accuracy: 0.8680 - val_loss: 1.0520\n",
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"Epoch 3/5\n",
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"\u001b[1m1500/1500\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 988us/step - accuracy: 0.8835 - loss: 0.9892 - val_accuracy: 0.8895 - val_loss: 0.9567\n",
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"Epoch 4/5\n",
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"\u001b[1m1500/1500\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 994us/step - accuracy: 0.9001 - loss: 0.9158 - val_accuracy: 0.9024 - val_loss: 0.9055\n",
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"Epoch 5/5\n",
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"\u001b[1m1500/1500\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 1ms/step - accuracy: 0.9094 - loss: 0.8713 - val_accuracy: 0.9092 - val_loss: 0.8730\n"
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]
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}
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],
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"source": [
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"model.compile(\n",
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" loss=\"sparse_categorical_crossentropy\",\n",
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" optimizer=keras.optimizers.SGD(learning_rate=1e-3),\n",
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" metrics=[\"accuracy\"],\n",
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")\n",
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"\n",
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"epochs = 5\n",
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"batch_size = 32\n",
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"\n",
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"history = model.fit(\n",
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" X_train,\n",
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" y_train,\n",
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" epochs=epochs,\n",
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" batch_size=batch_size,\n",
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" validation_data=(X_valid, y_valid),\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"De la même manière que l'on souhaitais observer l'impact du learning rate sur l'entraînement, on souhaite mesurer l'apport de la régularisation au modèle. \n",
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"\n",
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"## Mesure de l'impact de la régularisation\n",
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"\n",
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"**Consigne** : Définir une fonction `get_model` qui prend en paramètre :\n",
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"* *lambda_l2* : float correspondant à la magnitude de la pénalisation $L_2$\n",
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"* *learning_rate* : float par défaut à $0.001$ correspond au learning rate de l'optimizer\n",
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"\n",
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"La fonction renvoie le modèle compilé."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_model(lambda_l2: float, learning_rate: float) -> keras.Model:\n",
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" model = keras.models.Sequential(\n",
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" [\n",
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" keras.layers.Input(shape=[28, 28]),\n",
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" keras.layers.Flatten(),\n",
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" keras.layers.Dense(\n",
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" 256,\n",
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" activation=\"relu\",\n",
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" kernel_regularizer=keras.regularizers.l2(lambda_l2),\n",
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" ),\n",
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" keras.layers.Dense(\n",
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" 128,\n",
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" activation=\"relu\",\n",
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" kernel_regularizer=keras.regularizers.l2(lambda_l2),\n",
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" ),\n",
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" keras.layers.Dense(10, activation=\"softmax\"),\n",
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" ]\n",
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" )\n",
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" model.compile(\n",
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" loss=\"sparse_categorical_crossentropy\",\n",
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" optimizer=keras.optimizers.SGD(learning_rate=learning_rate),\n",
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" metrics=[\"accuracy\"],\n",
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" )\n",
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" return model"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Consigne** : En s'inspirant du travail réalisé pour le learning rate, comparer différente valeur de régularisation. Commenter."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"n_epochs = 30\n",
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"batch_size = 256\n",
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"learning_rates = [10 ** (-power) for power in range(1, 4)]\n",
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"lambda_l2_values = [0.001, 0.01, 0.1]\n",
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"\n",
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"results = []\n",
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"for learning_rate in learning_rates:\n",
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" for lambda_l2 in lambda_l2_values:\n",
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" model = get_model(lambda_l2, learning_rate)\n",
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" history = model.fit(\n",
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" X_train,\n",
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" y_train,\n",
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" epochs=n_epochs,\n",
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" batch_size=batch_size,\n",
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" validation_data=(X_valid, y_valid),\n",
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" verbose=0,\n",
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" )\n",
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" results.append(\n",
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" {\n",
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" \"learning_rate\": learning_rate,\n",
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" \"lambda_l2\": lambda_l2,\n",
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" \"history\": pd.DataFrame(history.history),\n",
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" \"n_epochs\": n_epochs,\n",
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" }\n",
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" )"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"def show_results(results: list) -> None:\n",
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" plt.figure(figsize=(12, 4))\n",
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" colors = sns.color_palette(\"husl\", len(results))\n",
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" for _, result in enumerate(results):\n",
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" history_df = result[\"history\"]\n",
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" learning_rate = result[\"learning_rate\"]\n",
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" lambda_l2 = result[\"lambda_l2\"]\n",
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"\n",
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" plt.subplot(1, 2, 1)\n",
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" plt.plot(\n",
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" history_df[\"val_loss\"],\n",
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" label=f\"LR={learning_rate}, L2={lambda_l2}\",\n",
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" color=colors[_],\n",
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" )\n",
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" plt.plot(history_df[\"loss\"], linestyle=\"--\", color=colors[_])\n",
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" plt.xlabel(\"Epochs\")\n",
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" plt.ylabel(\"Loss\")\n",
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" plt.legend()\n",
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"\n",
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" plt.subplot(1, 2, 2)\n",
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" plt.plot(\n",
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" history_df[\"val_accuracy\"],\n",
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" label=f\"LR={learning_rate}, L2={lambda_l2}\",\n",
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" color=colors[_],\n",
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" )\n",
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" plt.plot(history_df[\"accuracy\"], linestyle=\"--\", color=colors[_])\n",
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" plt.xlabel(\"Epochs\")\n",
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" plt.ylabel(\"Accuracy\")\n",
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" plt.legend()\n",
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"\n",
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1200x400 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"show_results(results)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "studies",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.13.3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|