Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Efficientnet.
1.2. (b)-(d) Naïve Scaling Dimensions (b) - Depth (d): Scaling network depth is the most common way used by many ConvNets. However, scaling a baseline model with different depth coefficient d, further suggesting the diminishing accuracy return for very deep ConvNets. (c) - Width (w): Scaling