Dec 3, 2019 11:00am to 12:30pm
1011 Evans Hall
Happening As Scheduled
ABSTRACT: We define a new class of "implicit" deep learning prediction rules that generalize the recursive rules of feedforward neural networks. These models are based on the solution of a fixed-point equation involving a single vector of hidden features, which is thus only implicitly defined. The new framework greatly simplifies the notation of deep learning, and opens up many new possibilities,...
Speaker: TBD (Speaker - Featured)