Combining Deep Learning with Good Old-Fashioned Machine Learning

Moshe Sipper
7/8/2022
cs.LGcs.CV

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Abstract

We present a comprehensive, stacking-based framework for combining deep learning with good old-fashioned machine learning, called Deep GOld. Our framework involves ensemble selection from 51 retrained pretrained deep networks as first-level models, and 10 machine-learning algorithms as second-level models. Enabled by today's state-of-the-art software tools and hardware platforms, Deep GOld delivers consistent improvement when tested on four image-classification datasets: Fashion MNIST, CIFAR10, CIFAR100, and Tiny ImageNet. Of 120 experiments, in all but 10 Deep GOld improved the original networks' performance.

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Cite this paper

@article{sipper2022combining,
  title  = {Combining Deep Learning with Good Old-Fashioned Machine Learning},
  author = {Moshe Sipper},
  year   = {2022},
  eprint = {2207.03757},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2207.03757v2}
}

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