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Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks

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Maxplus-Operators

This repository contains the code for reproducing the experiments in conference paper Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks, which is accepted by International Symposium on Mathematical Morphology 2019.

Example Usage

A simple Max-plus model on MNIST dataset.

  1. Train the base Max-plus model
python train.py
  1. Evaluate the pruned Max-plus model
python eval.py

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Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks

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