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Ph.D. Proposal Oral Exam - Jun Qi

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Title:  Theoretical Error Performance Analysis for Deep Neural Networks based Regression Functional Approximation

Committee: 

Dr. Lee, Advisor

Dr. Ma, Co-Advisor       

Dr. Anderson, Chair

Dr. Romberg

Dr. Juang

Abstract: The objective of the proposed research is to exploit statistical learning and nonconvex optimization to analyze deep neural network (DNN) based vector-tovector regression by providing DNN with upper bounds on representation and generalization powers.

Status

  • Workflow Status:Published
  • Created By:Daniela Staiculescu
  • Created:10/23/2020
  • Modified By:Daniela Staiculescu
  • Modified:11/05/2020

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