On Fast Deep Nets for AGI Vision

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On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models (2015, background): “, MNIST (2011), won numerous competitions [247, 38, 41, 39, 161, 42, 36, 134, 322, 37, 245], and achieved the first human-competitive or even superhuman results on well-known benchmarks, e.”
Foundations and Advances in Deep Learning (2014, background): “The success of this approach started a so called second neural network renaissance (Schmidhuber et al., 2011).”
My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013 (2013, methodology): “In 2009, our Deep Learning Artiﬁcial Neural Networks became the ﬁrst Deep Learners to win ofﬁcial international pattern recognition competitions [40, 83] (with secret test sets known only to the organisers); by 2012 they had won eight of them (TL 1.13), including the ﬁrst contests on object…”