How to Accelerate Learning of Deep Neural Networks With Batch Normalization

 By Machine Learning Mastery - 2019-01-17

Description

Batch normalization is a technique designed to automatically standardize the inputs to a layer in a deep learning neural network. Once implemented, batch normalization has the effect of dramatically a ...

Summary

  • Batch normalization is a technique designed to automatically standardize the inputs to a layer in a deep learning neural network.
  • By default, this is kept high with a value of 0.99.
  • 1 bn=BatchNormalization(momentum=0.0) At the end of training, the mean and standard deviation statistics in the layer at that time will be used to standardize inputs when the model is used to make a prediction.
  • Update the example to not use the beta and gamma parameters in the batch normalization layer and compare results.

 

Topics

  1. Machine_Learning (0.3)
  2. NLP (0.12)
  3. Backend (0.08)

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