3 ms·

Schmidhuber sounds like the Nassim Nicholas Taleb of neural networks. Good ideas, complicated personality.

• Nokinside 8y ago
  add Stephen Wolfram and Gregory Chaitin to the list.
• carapace 8y ago
  I consider myself a fan of Schmidhuber. He gives a talk that he starts with a joke. It's a self-referential self-deprecating joke about Austrians, and it's funny! The audience laughs. I watched that and thought to myself, "This is a formidable man." http://people.idsia.ch/~juergen/ http://people.idsia.ch/~juergen/ Cf. Gödel machine http://people.idsia.ch/~juergen/goedelmachine.html http://people.idsia.ch/~juergen/goedelmachine.html https://en.wikipedia.org/wiki/G%C3%B6del_machine https://en.wikipedia.org/wiki/G%C3%B6del_machine Also, "Deep Learning in Neural Networks: An Overview" ("88 pages, 888 references"!) > Abstract. In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarises relevant work, much of it from the previous millennium. Shallow and deep learners are distinguished by the depth of their credit assignment paths, which are chains of possibly learnable, causal links between actions and effects. I review deep supervised learning (also recapitulating the history of backpropagation), unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks. http://people.idsia.ch/~juergen/deep-learning-overview.html http://people.idsia.ch/~juergen/deep-learning-overview.html
  • icc97 8y ago
    From http://people.idsia.ch/~juergen/deep-learning-overview.html http://people.idsia.ch/~juergen/deep-learning-overview.html: > Pronounce: You_again Shmidhoobuh That's pretty good for a self-deprecating joke