A Hybrid Deep Learning Architecture for Image Classification Across Diverse Visual Recognition Applications
This study trains a hybrid deep learning system to efficiently recognize photos using the Caltech-256 dataset and findings validate the proposed hybrid design's provision of a strong and efficient model.