INDICATORS ON EXPENSIFY VALUATION YOU SHOULD KNOW

All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is barely achievable if the height and width dimensions of the data continue to be unchanged, so convolutions in the dense block are all of stride one. Pooling layers are inserted between dense blocks for even further dimensionality redu