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pro vyhledávání: '"Fischler, Mathias"'
Current deep convolutional networks are fixed in their topology. We explore the possibilites of making the convolutional topology a parameter itself by combining NeuroEvolution of Augmenting Topologies (NEAT) with Convolutional Neural Networks (CNNs)
Externí odkaz:
http://arxiv.org/abs/2211.16978
Current deep convolutional networks are fixed in their topology. We explore the possibilites of making the convolutional topology a parameter itself by combining NeuroEvolution of Augmenting Topologies (NEAT) with Convolutional Neural Networks (CNNs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c37c520b2a89c05df97d25478ba3298d
http://arxiv.org/abs/2211.16978
http://arxiv.org/abs/2211.16978