Convolutional Neural Networks

DenseNet

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

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