Batch Normalization

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Video Contents:
00:00 Definition and Details of An Example Neural Network
05:48 Why Is Batch Normalization Needed?
08:14 How To Apply Batch Normalization?
12:13 Batch Normalization Equations
13:05 Population Mean and Variance
14:49 Trainable and Estimated Parameters of Batch Normalization
15:27 Batch Normalization at Inference
16:17 Batch Normalization for Convolutional Layer
19:28 Contribution of Batch Normalization

* Illustration of interdepence between layers of an example Neural Network
* Definition of Batch Normalization as a remedy to decrease interdepence
* Detailed definition of Batch Normalization process for both Fully Connected
and Convolutional Layers
* Differences between Batch Normalization of Fully Connected and Convolutional Layers
* Batch Normalization equations
* Estimation of Population Mean and Variance using Moving Averages

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Reference

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
https://arxiv.org/abs/1502.03167

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