Also known as feedforward artificial neural network. An MLP consists of at least three layers of nodes: an input layer, a hidden layer and an output layer. Except for the input nodes, each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning technique called Backpropagation for training. It can distinguish data that is not linearly separable.
Multi Layer Perceptron Model (MLP)
An MLP consists of at least three layers of nodes: an input layer, a hidden layer and an output layer.
Written by Alejandro Bonilla
Updated over a week ago
Updated over a week ago