Comparative Analysis of Custom and Pre-Trained Convolutional Neural Networks (CNNs) for Object Recognition on the Cifar-10 Dataset
This study compares a custom CNN with three pre-trained models on the CIFAR-10 dataset, which comprises 60,000 colour images (32×32 pixels) across 10 categories, and shows that pre-trained models performed much better than the customised model.