Improvement of Classification Results of Convolutional Neural Networks Using Various Gan-Based Augmentation Techniques

Generative Adversarial Network (GAN) is an exciting innovation in machine learning within the neural network field. These models are able to generate a realistic image, video or even voice output. One of the useful applications is its possibility to enrich data sets for better learning of neural net...

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Hlavní autoři:	Kališková Lenka, Butka Peter
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Sciendo 2024-12-01
Edice:	Acta Electrotechnica et Informatica
Témata:	augmentation generative adversarial network convolutional neural network classification deep learning
On-line přístup:	https://doi.org/10.2478/aei-2024-0013
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