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Database Design for Deep Learning Models by GJR PUBLICATION is a document available to read on EtoBox.

In deep learning projects, selecting and designing the appropriate database can have a significant impact on the performance and efficiency of models. Given the complexity and diversity of data needs in this field, identifying the factors that affect this selection is of particular importance. The aim of this study is to investigate and analyze the factors affecting the selection and design of appropriate databases for deep learning models. This research used a purposive sampling method to selec

Author
GJR PUBLICATION
Language
EN