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Simple comparison of regularization methods

This repository contains a simple experiment comparing three selected regularization methods (batchnorm, weightnorm, fast dropout) using a small MLP on CIFAR-100 dataset.

Requires python 2.7, tensorflow, and Keras.

  • To run the script, execute run_experiments.py from a shell.

  • To generate the plots with results, execute generate_report.py from a shell.

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Comparison of regularization methods (batchnorm, weightnorm, fast dropout) on a small MLP with CIFAR-100 dataset.

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