A fully connected layer is a neural network layer in which every node is connected to every node in the following layer. It is also called a dense layer and is commonly used to combine learned representations before prediction.
A hidden layer in which each node is connected to every node in the subsequent hidden layer. A fully connected layer is also known as a dense layer.