Deep Learning - blame – VersoML Learn

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36084c	lugonthier	2026-07-02 14:39:19
Add new content and images for Linear Models, Regularization, SVMs, and Decision Trees - Added images for linear regression, logistic regression, and perceptron. - Introduced a new section on Regularization and High-Dimensional Inference with detailed explanations and images. - Added content on Support Vector Machines, including definitions, loss functions, and kernel methods. - Created a new section on Decision Trees and Ensemble Methods, covering CART, bagging, random forests, and boosting. - Included relevant images to illustrate concepts in Decision Trees and Ensemble Methods.

# Deep Learning

Les réseaux de neurones, du simple perceptron aux transformeurs modernes : comment la profondeur, les bonnes fonctions d'activation et l'entraînement par gradient permettent à un modèle d'apprendre ses propres caractéristiques au lieu de les concevoir à la main.

12d21f	lugonthier	2026-07-24 11:49:19
Remove unused SVG files and update Markdown content for clarity and accuracy in MLOps and Machine Learning modules. Adjust references to optimization techniques and activation functions, and enhance explanations in the mathematical refresher section.

**Prérequis :** le cours [Machine Learning](/fr/Machine%20Learning), en particulier [Réseaux de neurones multi-couches](/fr/Machine%20Learning/06%20Multilayer%20neural%20networks), qui construit le modèle et couvre les pertes et la rétropropagation utilisées tout au long de ce cours. Python de base, calcul différentiel et algèbre linéaire.

36084c	lugonthier	2026-07-02 14:39:19
Add new content and images for Linear Models, Regularization, SVMs, and Decision Trees - Added images for linear regression, logistic regression, and perceptron. - Introduced a new section on Regularization and High-Dimensional Inference with detailed explanations and images. - Added content on Support Vector Machines, including definitions, loss functions, and kernel methods. - Created a new section on Decision Trees and Ensemble Methods, covering CART, bagging, random forests, and boosting. - Included relevant images to illustrate concepts in Decision Trees and Ensemble Methods.

## Programme

1. [Introduction](/fr/Deep%20Learning/01%20Introduction)

12d21f	lugonthier	2026-07-24 11:49:19
Remove unused SVG files and update Markdown content for clarity and accuracy in MLOps and Machine Learning modules. Adjust references to optimization techniques and activation functions, and enhance explanations in the mathematical refresher section.

2. [Fonctions d'activation](/fr/Deep%20Learning/02%20Activation%20functions)

3. [Optimisation](/fr/Deep%20Learning/03%20Optimization)

4. [Entraîner les réseaux profonds](/fr/Deep%20Learning/04%20Training%20deep%20networks)

5. [Réseaux convolutifs](/fr/Deep%20Learning/05%20Convolutional%20networks)

6. [Plongements et apprentissage de représentations](/fr/Deep%20Learning/06%20Embeddings%20and%20representation%20learning)

7. [Réseaux récurrents](/fr/Deep%20Learning/07%20Recurrent%20networks)

8. [LSTM et GRU](/fr/Deep%20Learning/08%20LSTM%20and%20GRU)

9. [Attention](/fr/Deep%20Learning/09%20Attention)

10. [Transformeurs](/fr/Deep%20Learning/10%20Transformers)

36084c	lugonthier	2026-07-02 14:39:19
Add new content and images for Linear Models, Regularization, SVMs, and Decision Trees - Added images for linear regression, logistic regression, and perceptron. - Introduced a new section on Regularization and High-Dimensional Inference with detailed explanations and images. - Added content on Support Vector Machines, including definitions, loss functions, and kernel methods. - Created a new section on Decision Trees and Ensemble Methods, covering CART, bagging, random forests, and boosting. - Included relevant images to illustrate concepts in Decision Trees and Ensemble Methods.

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[Machine Learning](/fr/Machine%20Learning) · [MLOps](/fr/MLOps) · [Accueil](/fr)