Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Efficientnet.
Swish activation, fixed AutoAugment policy, and Stochastic Depth are also used. EfficientNet models generally use an order of magnitude fewer parameters and FLOPS than other ConvNets with similar accuracy. EfficientNet-B7 achieves 84.4% top1 / 97.1% top-5 accuracy with 66M parameters and 37B FLOPS,