HIGHLIGHTS
- who: from the Mhamed Zineddine, INSA Euromed, Euromed Research Center, Euromed University of Fes, Morocco* have published the research work: DOI: 10.4018/IJSI.315655 *Corresponding Author, in the Journal: (JOURNAL)
- what: The aim of this recalibration is to learn how to minimize the chances of errors and undesired outcomes. The aim of a pooling layer is to minimize the number of parameters in the input tensor, which helps to reduce overfitting, extract representative features from the input tensor, and aid efficiency by reducing computation. In this study, a conventional neural_network (CNN) was designed, trained . . .
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