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Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
📊 Une collection de projets pratiques en Science des Données et Intelligence Artificielle, incluant la prédiction, la classification, la détection d'anomalies, le traitement du langage naturel, la …
A C++ smart-home simulation using multiple design patterns. It centralizes device creation, control, and grouping through factories, facades, and commands. The project focuses on clean architecture…
A collection of Model-Based Design (MBD) projects and exercises covering system architecture, system modeling, Simulink model development, and Stateflow control design.