Definition
DenseNet is a deep Convolutional Neural Network architecture.
Architecture
In DenseNet, each layer’s input consists of the feature maps from all preceding layers, not just the immediately previous layer, allowing significant feature reuse and learn more compact representations. The dense connections also facilitate better gradient flow during backpropagation, making it easier to train deeper networks. The dense connections adopt full pre-activation structure.