de Zarzà, I.; de Curtò, J.; Tavares De Araujo Cesariny Calafate, Carlos Miguel(Elsevier, 2022-11)
[EN] This paper sets forth a methodology that is based on three-stage-training of a state-of-the-art network architecture previously trained on Imagenet, and iteratively finetuned in three steps; freezing first all layers, ...
de Curtò, J.; de Zarzà, I.; Yan, Hong; Tavares De Araujo Cesariny Calafate, Carlos Miguel(Elsevier B.V., 2022-08)
[EN] The library explores the applicability of the Hadamard as an input modulator for problems of classification. It introduces a framework in C++ to use kernel approximates in the mini-batch setting with Stochastic Gradient ...