Dive into the world of Convolutional Neural Networks (CNNs) in this comprehensive 1-hour 27-minute lecture. Explore how CNNs exploit the locality, stationarity, and compositionality of natural input data. Learn about key concepts including representation, locality, parameter sharing, and CNN components. Gain hands-on experience with practical examples and exercises. Access accompanying slides for enhanced learning. Perfect for those looking to deepen their understanding of deep learning techniques and their applications in processing natural input data.
Overview
Syllabus
Intro
Overview
Representation
Recap
Output
Locality
Parameter Sharing
CNN Components
Pulling
Pull Operation
Handson
Taught by
Alfredo Canziani
Tags
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