Deep Learning for Computer Vision

3 credit hours · Undergraduate

Students are introduced to deep learning fundamentals and architectures with a focus on computer vision tasks such as image classification, object detection, image segmentation, image synthesis, and 3D reconstruction. Relevant case studies are discussed. Students learn to build neural networks for computer vision problems using Python and Tensorflow. Classes 3 hrs. and recitation 1.5 hrs. per week.