Web Reference: Carnegie Mellon UniversityCourse: 11-785, Intro to Deep LearningOffering: Fall 2019For more information, please visit: http://deeplearning.cs.cmu.edu/Content... May 24, 2020 · Batch Normalization (Mini-batches) Problem: covariate shifts. Data inside mini-batches will not be uniformly sampled. There is a correlation between the samples. Solution: Move all subgroups into a… We can normalize batch of activations like this: = This is a differentiable function, so we can use it as an operator in our networks and backprop through it! Ioffe and Szegedy, “Batch normalization: network training by reducing internal covariate shift”, ICML 2015
YouTube Excerpt: Carnegie Mellon University Course: 11-785, Intro to Deep Learning Offering: Fall 2019 For more information, please visit: ...

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