Computer Science 591NR - S-Neural Networks: An Intro

We will introduce neural networks and modeling of brain functions: the inspiration, engineering applications, theoretical analysis, as well as psychological and biological modeling. We will review different neural networks within the two groups: Feed forward networks, applications, and approximation theorem; Recurrent neural networks and computational power; We will also focus on supervised and unsupervised learning with applications in clustering; representability; and Models of memory, diseases, and healthy perception. This course counts as a CS Elective toward the CMPSCI major.

Pre Req: CMPSCI 311 w/C Meets with CMPSCI 691NR.