Report
Combining Deep Learning with Good Old-Fashioned Machine Learning
| العنوان: | Combining Deep Learning with Good Old-Fashioned Machine Learning |
|---|---|
| المؤلفون: | Sipper, Moshe |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | 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. Comment: SN Computer Science, 2022 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2207.03757 |
| رقم الانضمام: | edsarx.2207.03757 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |