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.
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To run the script, execute
run_experiments.py
from a shell. -
To generate the plots with results, execute
generate_report.py
from a shell.