Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Efficientnet.
rather than conventional single-dimension scaling. Scaling Network Width for Different Baseline Networks. An example is as shown above. If we only scale network width w without changing depth (d=1.0) and resolution (r=1.0), the accuracy saturates quickly. With deeper (d=2.0) and higher resolution