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Understanding Convolutional Neural Networks

Other Statistics 2016-10-30 v1

Abstract

Convoulutional Neural Networks (CNNs) exhibit extraordinary performance on a variety of machine learning tasks. However, their mathematical properties and behavior are quite poorly understood. There is some work, in the form of a framework, for analyzing the operations that they perform. The goal of this project is to present key results from this theory, and provide intuition for why CNNs work.

Keywords

Cite

@article{arxiv.1605.09081,
  title  = {Understanding Convolutional Neural Networks},
  author = {Jayanth Koushik},
  journal= {arXiv preprint arXiv:1605.09081},
  year   = {2016}
}

Comments

Statistical Machine Learning Course Project at Carnegie Mellon University

R2 v1 2026-06-22T14:12:31.639Z