Über diesen Artikel
Online veröffentlicht: 16. Dez. 2019
Seitenbereich: 107 - 112
Eingereicht: 26. Aug. 2019
Akzeptiert: 07. Okt. 2019
DOI: https://doi.org/10.2478/rput-2019-0033
Schlüsselwörter
© 2019 Roman Budjač et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
This paper aims at deeper exploration of the new field named auto-machine learning, as it shows promising results in specific machine learning tasks e.g. image classification. The following article is about to summarize the most successful approaches now available in the A.I. community. The automated machine learning method is very briefly described here, but the concept of automated task solving seems to be very promising, since it can significantly reduce expertise level of a person developing the machine learning model. We used Auto-Keras to find the best architecture on several datasets, and demonstrated several automated machine learning features, as well as discussed the issue deeper.