Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Efficientnet.
network width is commonly used for small size models. Wider networks tend to be able to capture more fine-grained features and are easier to train. However, extremely wide but shallow networks tend to have difficulties in capturing higher level features. (d) - Resolution (r): With higher resolution