An 'introspective' network that can learn to run its own weight change algorithm

By J. Urgen Schmidhuber. 1993

Citations in the corpus

• Deep learning in neural networks: An overview (2014, methodology): “PM-based UL was applied not only to FNNs but also to RNNs (e.g., Lindstädt, 1993; Schmidhuber, 1993b).”
• Optimal Ordered Problem Solver (2002, neutral): “A gradient-based metalearning technique (Schmidhuber, 1993) for continuous program spaces of differentiable recurrent neural networks (RNNs) was also designed to favor better learning algorithms; compare the remarkable recent success of the related but technically improved RNN-based metalearner by…”