EE 4280X: Image Analysis using Machine Learning
Credits: 3. Contact Hours: Laboratory 2, Lecture 2.
Repeatable.
Visual recognition tasks such as image classification, localization and detection are core to applications in image understanding. Developments in neural network (aka 'deep learning') approaches have advanced the performance of these state-of-the-art visual recognition systems. Explore deep learning architectures with a focus on learning end-to-end models for tasks such as image classification. Implement, train and debug neural networks and gain a detailed understanding of research in computer vision. Image recognition problem set-up, the learning algorithms (e.g. backpropagation), practical engineering tricks for training and fine-tuning the networks. Final course project. (Typically Offered: Fall)