Convolutional Neural Networks


Introduced by Huang et al. in Densely Connected Convolutional Networks

A DenseNet is a type of convolutional neural network that utilises dense connections between layers, through Dense Blocks, where we connect all layers (with matching feature-map sizes) directly with each other. To preserve the feed-forward nature, each layer obtains additional inputs from all preceding layers and passes on its own feature-maps to all subsequent layers.

Source: Densely Connected Convolutional Networks


Paper Code Results Date Stars