Web: http://arxiv.org/abs/2205.04878

May 11, 2022, 1:10 a.m. | Asel Sagingalieva, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Perelshtein, Alexey Melnikov, Andrea Skolik, David Von Dollen

cs.CV updates on arXiv.org arxiv.org

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
hyperparameters leads to additional overhead. Because of this, new developments
in machine learning models and hyperparameter optimization techniques are
required. This paper presents a quantum-inspired hyperparameter optimization
technique and a hybrid quantum-classical machine learning model for supervised
learning. We benchmark …

arxiv classification hybrid networks neural neural networks optimization quantum quantum neural networks

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