Advanced Deep Learning Models (ADLM)

Description

A hands-on advanced deep learning course focused on computer vision and generative AI. Covers object detection architectures (R-CNN, SSD, YOLO), semantic segmentation, Generative Adversarial Networks (GANs), and Transformer-based models including self-attention mechanisms. Students apply concepts through a practical project implementing one technique — object detection, semantic segmentation, or GANs — using PyTorch or TensorFlow on a real-world problem of their choice.