Zobrazeno 1 - 2
of 2
pro vyhledávání: '"T, Akash Guna R"'
Conventional scaling of neural networks typically involves designing a base network and growing different dimensions like width, depth, etc. of the same by some predefined scaling factors. We introduce an automated scaling approach leveraging second-
Externí odkaz:
http://arxiv.org/abs/2402.12418
We propose a novel method that trains a conditional Generative Adversarial Network (GAN) to generate visual interpretations of a Convolutional Neural Network (CNN). To comprehend a CNN, the GAN is trained with information on how the CNN processes an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04855a4227bf4c92c8f18a724407f9f8