Intelligence Artificielle en embarqué (Embedded AI) -M1 ESE_S2

Course

CHAP 1. Al & Machine Learning Embedded Al

CHAP 2_1. Machine Learning & Deep Learning Methods (MLP, RBF)

CHAP 2_2. Machine Learning & Deep Learning Methods (SVM, KNN)

Bayes Classification

AI_Advantages_Disadvantages

What exactly is embedded AI

TD

TD1: Vectors, Lines, Planes, Hyperplane,

TD2: Perceptron, Multi layers perceptron (MLP)and backpropagation

TD3 : Confusion Matrix & ROC Curve

TD4: SVM Classifier: Linear & Nonlinear separable with Kernels Functions

TD1 Correction

TD2 Correction

TD3 Correction

TD4 Correction

TP

Lab_1: Linear Classifier

Lab_2: Perceptron with backpropagation

Lab_3: Confusion matrix and ROC curve for supervised classification

TP1_Correction

TP2_Correction

TP3_Correction

Exams

Quiz1_Embedded_AI_2025

Quiz02_Embedded_AI_2025

Exam_2024_Emb_AI

Exam_2024_Emb_AI_Correction

Exam_2025_Emb_AI

Exam_2025_Emb_AI_Correction