As part of TechCamp 3.0, IEEE CIS ENIS Student Chapter successfully organized the second session entitled "Deep Learning & Computer Vision", presented by Mr. Bilel Kamel, Data Scientist and AI/Machine Learning enthusiast.

During this session, participants were introduced to the fundamentals of modern Artificial Intelligence and Computer Vision. The session covered the principles of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN), the workflow of deep learning models from inputs to predictions, and the core concepts of computer vision.

Participants also explored the evolution of computer vision architectures and discovered practical applications through hands-on examples of image classification and object detection. The session provided both theoretical insights and practical demonstrations, enabling attendees to gain a solid foundation in Deep Learning and Computer Vision and understand their real-world applications.