CSCI2470
Deep Learning
Fall 2025
Deep Learning belongs to a broader family of machine learning methods. It is a particular version of artificial neural networks that emphasizes learning representation with multiple layers of networks. Deep Learning, plus the specialized techniques that it has inspired (e.g. convolutional neural networks, recurrent neural networks, and transformers), have led to rapid improvements in many applications, such as computer vision, machine learning, sound understanding, and robotics. This course gives students an overview of the prominent techniques of Deep Learning and its applications in computer vision, language understanding, and other areas. It also provides hands-on practice of implementing deep learning algorithms in Python. A final project will implement an advanced piece of work in one of these areas. Students may take CSCI 2470 or CSCI 1470 but not both.
Instructor(s): | |
Meets: | TTh 1pm-2:20pm Location TBD |
Exam: | If an exam is scheduled for the final exam period, it will be held: |
Max Seats: | 38 Full |
CRN: | 18628 |