Question

Reference for multi layer preceptron with back propogation

Answer 1

A multilayer perception (MLP) is a class of a feedforward artificial neural network. An MLP consists of at least three layers of nodes. Except for the input nodes, each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning techniques​ called backpropagatio for training.Its multiple layers and non-linear activation distinguish MLP from a linear perception. It can distinguish data that is not linearly separable.

Multilayer perceptions are sometimes colloquially referred to as "vanilla" neural networks, especially when they have a single hidden layer.

hope it's help you
================