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EfficientNet is a deep learning architecture designed to achieve high accuracy in image classification tasks while minimizing computational cost. Introduced in 2019 by Google AI, the EfficientNet family has delivered significant improvements over previous convolutional neural network (CNN) architectures in both accuracy and efficiency. The foundation of the model lies in the balanced scaling of three key dimensions: depth, width, and resolution. Efficient Scaling Strategy Unlike traditional CNN