Deep Learning

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Location:Salomon DECI (Remote asynch possible via section 2)
Meeting Time:E hr: MWF 12:00-12:50
Exam Group:15: 20-DEC-2021 Exam Time: 09:00:00 AM
Semester:Fall, Spring
Offered this year?Yes
When Offered?Every year


Deep Learning belongs to a broader family of machine learning methods. It is a particular version of artificial neural networks -- a version 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 intends to give students an overview of the prominent techniques of Deep Learning and its applications in computer vision, language understanding, and other areas. It also aims at providing 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. Prerequisites: A basic programming course: (CSCI 0150, 0170 or 0190) A linear algebra course: (CSCI 0530, MATH 0520 or 0540) A stats / probability course: (CSCI 0220, 1450, 0450, MATH 1610, APMA 1650 or 1655)

CRN: 16077