Deep Learning Using Convolutional Neural Networks

The expert session on “Deep Learning Using Convolutional Neural Networks” aims to introduce students to the fundamental concepts and practical applications of deep learning and Convolutional Neural Networks (CNNs). The session will cover the architecture of CNNs, including convolutional layers, pooling layers, and fully connected layers, along with their role in image processing and feature extraction. It will also highlight real-world applications such as image classification, object detection, facial recognition, and medical image analysis. Through practical examples and discussions, the session will help students understand how CNNs enable intelligent systems and enhance their knowledge of modern artificial intelligence techniques.