Dense Connections
Dense Connections
**Dense Connections**, or **Fully Connected Connections**, are a type of layer in a deep neural network that use a linear operation where every input is connected to every output by a weight. This means there are $n\_{\text{inputs}}*n\_{\text{outputs}}$ parameters, which can lead to a lot of parameters for a sizeable network.

$$h\_{l} = g\left(\textbf{W}^{T}h\_{l-1}\right)$$

where $g$ is an activation function.

Image Source: Deep Learning by Goodfellow, Bengio and Courville