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pro vyhledávání: '"Gallo, Ignazio"'
Optimization methods (optimizers) get special attention for the efficient training of neural networks in the field of deep learning. In literature there are many papers that compare neural models trained with the use of different optimizers. Each pap
Externí odkaz:
http://arxiv.org/abs/2011.08042
In neural networks, the loss function represents the core of the learning process that leads the optimizer to an approximation of the optimal convergence error. Convolutional neural networks (CNN) use the loss function as a supervisory signal to trai
Externí odkaz:
http://arxiv.org/abs/2009.08796
A large amount of research on Convolutional Neural Networks has focused on flat Classification in the multi-class domain. In the real world, many problems are naturally expressed as problems of hierarchical classification, in which the classes to be
Externí odkaz:
http://arxiv.org/abs/2005.08622