[D] Hinton: Multi-layer neural networks should never been called MLPs • r/MachineLearning

Not sure when the term Multi-Layer Perceptron was coined (in terms of multi-layer, fully-connected, feedforward neural net with non-linear activation functions and fit via backprop), but I assume it was in the 1980s around the time of Rumelhard et al.'s backprop paper. So in that context, Perceptron referred to the linear, binary classifier that uses some kind of step-function flavor to update the weights (as opposed to the delta rule or backprop). Or in short, I think around the time the term MLP was (re?)-coined, there was only one common "Rosenblatt Perceptron"