BILL 9xxx		Deep Learning for Computer Vision				4+0+0	4
Level of Course		Post graduate - Special Topics
Department		Computer Engineering
Lecturer		Asst. Prof. Dr. Murat Aykut
Course Syllabus
Week	Subject						Related Notes / Files
Week 1	Introduction to image processing and computer vision
Week 2	Convolutional features for visual recognition: AlexNet, VGG and Inception architectures
Week 3	ResNet and beyond
Week 4	Fine-grained image recognition, Content-based image retrieval
Week 5	Computing semantic image embeddings using convolutional neural networks
Week 6	The re-identification problem in computer vision
Week 7	CNN for keypoints regression
Week 8	Object detection: Object detection problem, Sliding windows, Attentional cascades and neural networks
Week 9	Midterm exam
Week 10	Region-based convolutional neural network, From R-CNN to Fast R-CNN, Faster R-CNN, Region-based fully-convolutional network
Week 11	U-Net, SegNet and others
Week 12	Deep generative adversarial networks
Week 13	Object tracking and action recognition: Deep learning in optical flow estimation, Visual object tracking, Multiple object tracking
Week 14	Introduction to action recognition, Action classification with convolutional neural networks, Action localization
Week 15	Image segmentation and synthesis: Image segmentation, Oversegmentation, Deep learning models for image segmentation
Week 16	Final exam