# Compound Scaling Architecture

EfficientNet is an efficient convolutional neural network that achieves high-performance image classification by uniformly scaling depth, width, and resolution

EfficientNet is a mobile-friendly pure convolutional model that uniformly scales depth/width/resolution dimensions through compound coefficients, trained on the ImageNet-1k dataset.

EfficientNet is a mobile-friendly pure convolutional model that uniformly scales depth/width/resolution dimensions through compound coefficients, trained on the ImageNet-1k dataset.

EfficientNet is a mobile-friendly pure convolutional model that uniformly scales depth, width, and resolution dimensions, trained on the ImageNet-1k dataset.

EfficientNet is a mobile-friendly pure convolutional model that achieves excellent performance in image classification tasks by uniformly scaling depth/width/resolution dimensions with compound coefficients.

EfficientNet is a mobile-friendly pure convolutional model that uniformly scales depth/width/resolution dimensions via compound coefficients, trained on the ImageNet-1k dataset.