Abstract: Image classification is one of the highly explored fields in artificial intelligence and computer vision, due to its widespread applications such as medical image analysis, autonomous cars, ...
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...
Abstract: This paper presents a comparative analysis of EfficientNetB0 models trained using transfer learning and from scratch, evaluated across three benchmark datasets: CIFAR-10, MNIST Digit, and ...
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