efficientnet-rethinking-model-scaling-for-convolutional-neural-networks-2022-017Mingxing Tan, Quoc V. Le2022This record links to the EfficientNet paper, which proposes compound scaling for convolutional neural network depth, width, and resolution. It supports realistic testing of undergraduate AI project metadata and external PDF handling.https://inrepscholar.com/projects/956