Artificial Intelligence & Deep Learning

Reference Material

Comprehensive collection of reference materials covering machine learning fundamentals, artificial intelligence concepts, and deep neural network architectures.
IN IN IN H H OUT

Course Materials

Foundation

Machine Learning

Introduction to supervised and unsupervised learning, classification algorithms, regression models, and evaluation metrics.

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Core Concepts

Artificial Intelligence

Comprehensive overview of AI principles, knowledge representation, reasoning systems, and intelligent agent design.

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Advanced

Deep Learning

Advanced neural network architectures including CNNs, RNNs, and modern deep learning techniques for complex pattern recognition.

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Practical Sessions

GitHub Repository

IA-DeepLearning Repository

Comprehensive collection of practical exercises, code implementations, and project templates with bilingual documentation in French and English. Includes Jupyter notebooks covering all course topics from basic machine learning to advanced deep neural networks.

Access on GitHub