[fulafel]

Here are some interesting bits on deep learning vs crediting prior research from a prominent Swiss DL research pioneer: https://people.idsia.ch/~juergen/scientific-integrity-turing...

> As mentioned earlier,[MIR](Sec. 21) when only consulting surveys from the Anglosphere, it is not always clear[DLC] that Deep Learning was first conceived outside of it. It started in 1965 in the Ukraine (back then the USSR) with the first nets of arbitrary depth that really learned.[DEEP1-2][R8] Soon afterwards, multilayer perceptrons learned internal representations through stochastic gradient descent in Japan.[GD1-2a] A few years later, modern backpropagation was published in Finland (1970).[BP1] The basic deep convolutional NN architecture (now widely used) was invented in the 1970s in Japan[CNN1] where NNs with convolutions were later (1987) also combined with "weight sharing" and backpropagation.[CNN1a]