Lecture 11 | (3/3) Convolutional Neural Networks

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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Lecture 12 | (1/5) Recurrent Neural Networks

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