Based on the text delimited by triple quotes, answer the question "Has NAME_1 NAME_2 contributed in the field of deep learning?" ```There are two types of neural networks: feedforward neural networks (FNNs) and recurrent neural networks (RNNs). RNNs have cycles in their connectivity structure, FNNs don't. In the 1920s, NAME_3 and NAME_4 created and analyzed the Ising model[27] which is essentially a non-learning RNN architecture consisting of neuron-like threshold elements. In 1972, NAME_5 made this architecture adaptive.[28][29] His learning RNN was popularised by NAME_6 in 1982.[30] RNNs have become central for speech recognition and language processing.

NAME_7 writes that NAME_8 developed and explored all of the basic ingredients of the deep learning systems of today,[31] referring to NAME_9's 1962 book[32] which introduced a multilayer perceptron (MLP) with 3 layers: an input layer, a hidden layer with randomized weights that did not learn, and an output layer.[29] However, since only the output layer had learning connections, this was not yet deep learning. It was what later was called an extreme learning machine.[29]

The first general, working learning algorithm for supervised, deep, feedforward, multilayer perceptrons was published by NAME_10 and NAME_11 in 1967.[33] A 1971 paper described a deep network with eight layers trained by the group method of data handling.[34]

The first deep learning multilayer perceptron trained by stochastic gradient