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arXiv:1605.09081stat.OT

Understanding Convolutional Neural Networks

Jayanth Koushik

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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.

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Statistical Machine Learning Course Project at Carnegie Mellon University
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