publication . Other literature type . Conference object . 2018

On The Importance Of Deep Learning Regularization Techniques In Knowledge Discovery

Ljubinka Sandjakoska; Atanas Hristov; Ana Madevska Bogdanova;
Open Access
  • Published: 19 Dec 2018
  • Publisher: Zenodo
Abstract
Nowadays, in the era of complex data, the knowledge discovery process became one of the key challenges in the science. The evolution of the technologies imply evolution of the techniques for dealing with the data. Deep neural networks, as advanced concepts became very popular and can be viewed as tool for improvement of knowledge discovery processes. A motivation for this paper is generalization ability of deep neural network. In an attempt to better understand and to solve the problem of generalization of deep neural networks, we study several regularization techniques. Different regularization techniques, as a solution of overfitting problem, are discussed. Th...
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Zenodo
Other literature type . 2018
Provider: Datacite
Zenodo
Other literature type . 2018
Provider: Datacite
ZENODO
Conference object . 2018
Provider: ZENODO
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