Hyperparameter optimization of hybrid quantum neural networks for car classification

Image recognition is one of the primary applications of machine learning algorithms. Nevertheless, machine learning models used in modern image recognition systems consist of millions of parameters that usually require significant computational time to be adjusted. Moreover, adjustment of model hype...

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Veröffentlicht in:	arXiv.org 2022-05
Hauptverfasser:	Asel Sagingalieva, Kurkin, Andrii, Melnikov, Artem, Kuhmistrov, Daniil, Perelshtein, Michael, Melnikov, Alexey, Skolik, Andrea, David Von Dollen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Computing time Image classification Machine learning Model accuracy Neural networks Object recognition Optimization Optimization techniques Tensors
Online-Zugang:	Volltext
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