Fact check: plausible Tappert, C. C. (2019). Who Is the Father of Deep Learning? 2019 International Conference on Computational Science and Computational Intel

Fact check: plausible Tappert, C. C. (2019). Who Is the Father of Deep Learning? 2019 International Conference on Computational Science and Computational Intelligence (CSCI). doi:10.1109/csci49370.2019.00067 : > Frank Rosenblatt and Marvin Minsky debated at conferences the value of biologically inspired computation, Rosenblatt arguing that his neural networks could do almost anything and Minsky countering that they could do little. Minsky, wanting to direct government funding away from neural networks and towards his own areas of interest, collaborated with Seymour Papert to publish Perceptrons, where they asserted about perceptrons (page 4), "Most of this writing ... is without scientific value...” Minsky, although well aware that powerful perceptrons have multiple layers and even Rosenblatt's basic feed-forward perceptrons have three layers, defined a perceptron as a two-layer machine that can handle only linearly separable problems and, for example, cannot solve the exclusive-OR problem. The book, unfortunately, stopped government funding in neural networks and precipitated an “AI Winter” that lasted about 15 years. This lack of funding also ended Rosenblatt’s research in neural networks [when he was only 41 years old].