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Activity Number: 554 - Deep Learning and Statistical Modeling with Applications
Type: Invited
Date/Time: Wednesday, August 1, 2018 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #326595 Presentation
Title: Weight Normalized Deep Neural Networks
Author(s): Xiao Wang * and Yixi Xu
Companies: Purdue University and Purdue University
Keywords: Deep learning; generalization error; weight normalization

Analysis of big data demands computer aided or even automated model building. It becomes extremely difficult to analyze such data with traditional statistical models and model building methods. Deep learning has proved to be successful for a variety of challenging problems such as AlphaGo, driverless cars, and image classification. Understanding deep learning has however apparently been limited, which makes it difficult to be fully developed. In this talk, we study the capacity as well as generalization properties of deep neural networks (DNN) under different scenarios of weight normalization. If time permits, we also discuss how to use DNN for nonlinear variable selection.

Authors who are presenting talks have a * after their name.

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