4 ms·

sorry, but i think neural-networks came way before 2012, notably the works of rumelhart, mccleland etc. see the 2 volume "parallel distributed processing" to re

• FL33TW00D 2y ago
  I raise you Warren McCulloch in 1962: https://www.youtube.com/watch?v=wawMjJUCMVw https://www.youtube.com/watch?v=wawMjJUCMVw
• mcshicks 2y ago
  Jets and Sharks! https://github.com/acmiceli/IACModel https://github.com/acmiceli/IACModel
• martindbp 2y ago
  I knew someone would bring it up, which is why I added "(yes, NNs are old, but 2012 was the start of the deep learning revolution)"
  • versteegen 2y ago
    2012 was when the revolutionaries stormed the bastille and overthrew the old guard. But I say it was 2006 when the revolution started, when the manifesto was published: deep NNs can be trained end-to-end, learning their own features [1]. I think this is when "Deep Learning" became a term of art, and the paper has 24k citations. (Interestingly in a talk a Vector Hinton gave two weeks ago he said his paper on deep learning at NIPS 2006 was rejected because they already had one.) [1] G. E. Hinton and R. R. Salakhutdinov, 2006, Science, Reducing the Dimensionality of Data with Neural Networks