| Morning Session (9:00 AM - 1:00 PM) | |
|---|---|
| 9:00 - 11:00 AM |
Foundations of Image Understanding
Interactive lecture: Dive into CNNs, ResNet architectures, backpropagation,
and optimization techniques like SGD and Adam. Understand how machines "see".
|
| 11:00 - 12:00 PM |
Hands-On Lab: Training ResNet-50 on CIFAR-100
Prepare and preprocess a real-world dataset, and experience model convergence live.
|
| 12:00 - 1:00 PM |
Object Detection & Segmentation Demystified
Introduction to YOLO and Mask R-CNN, exploring how AI detects and localizes objects.
|