Question

Difference between perceptron and mlffnn

Answer 1

A perceptron is alwaysfeedforward, that is, all the arrows are going in the direction of the output. Neural networks in general might have loops, and if so, are often calledrecurrent networks. A recurrent network is much harder to train than a feedforward network.In addition, it is assumed that in a perceptron, all the arrows are going from layer $i$ to layer$i+1$, and it is also usual (to start with having) that all the arcs from layer $i$ to $i+1$ are present.Finally, havingmultiple layersmeans more thantwo layers, that is, you havehiddenlayers. A perceptron is a network with two layers, one input and one output. A multilayered network means that you have at least one hidden layer (we call all the layers between the input and output layers hidden).