Same as 5900-14 Specialization: Standalone course Instructor: Dr. Ioana Fleming, Instructor of Computer Science and Co-Associate Chair for Undergraduate Education Prior knowledge needed: Basic ...

In contrast, a traditional machine learning flow would fail. We can attribute deep learning advancements in computer vision to the massive amount of image data we have today.

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines ...

In this course students will study deep learning architectures such as autoencoders, , convolutional deep neural networks, and recurrent neural networks. They will read original research papers that ...