What is multilayer perceptron?
A multi-layer perceptron is a type of artificial neural network. It has one or more hidden layers between the input and output layers, each of which can be thought of as a series of processing units connected to each other in a hierarchical tree structure.
The input layer nodes are connected to the hidden layer nodes, which are then connected to the output layer nodes. The connections between the layers are weighted, where every connection has a weight value that indicates how much influence it should have on the output from any given node.
A multi-layer perceptron is a type of artificial neural network that is used for supervised learning and which can also be used to study computational neuroscience and parallel distributed processing. Applications include speech recognition, image recognition and machine translation.