|Meeting Time:||E: MWF 12:00-12:50|
|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.