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As an old-timer in neural networks, this was interesting. However I should note that we did not call it "deep learning" back then. It was simply "neural networks".

As I write this, I am looking at the book "Parallel and Distributed Processing", (with the blue cover) an edited compilation of papers on neural networks published by the MIT Press in 1987. I myself spent the summer of 1990 implementing the back-propagation algorithm as described in chapter 8 of this book which is entitled "learning Internal Representations" by Rumelhart, Hinton and Williams.

I myself got my PhD in 1992 for coming up with an algorithm for speeding up back-propagation when the training set is imbalanced.

An Improved Algorithm for Neural Network Classification of Imbalanced Training Sets. November 1993IEEE Transactions on Neural Networks 4(6):962 - 969




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