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This course explains how convolutional neural networks exploit locality, stationarity, and compositionality in natural input data. It covers representations, output locality, parameter sharing, CNN components, and a hands-on operation.
Syllabus
Intro
Overview
Representation
Recap
Output
Locality
Parameter Sharing
CNN Components
Pulling
Pull Operation
Handson
Taught by
Alfredo Canziani