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Implementation of the visualization regularizer for neural networks trained on image tasks.

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VisRegDL

Implementation of the visualization regularizer (https://arxiv.org/abs/1604.02646) for neural networks trained on image tasks.

Instructions

Pre-requisites

The following python packages are required to be installed:

Downloading and pre-processing the datasets

  • Run the scripts GetMnist.sh and GetCifar.sh to download the MNIST and CIFAR-10 datasets.
  • Run ConvertMnist.py to pre-process the MNIST dataset into an usable format.

Training

Scripts RunMnist.py and RunCifarCnn.py train neural networks with various parameter combinations and report the accuracies and loss values per epoch in their respective log files in the runs folder.

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Implementation of the visualization regularizer for neural networks trained on image tasks.

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