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Lecture 9 | (1/4) Convolutional Neural Networks

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Published on Sep 25, 2019

Carnegie Mellon University
Course: 11-785, Intro to Deep Learning
Offering: Fall 2019

For more information, please visit: http://deeplearning.cs.cmu.edu/

Contents:
• Convolutional Neural Networks (CNNs)
• Weights as templates
• Translation invariance
• Training with shared parameters
• Arriving at the convolutional model

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