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Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies. (arXiv:2201.08813v1 [cs.CV])
Jan. 24, 2022, 2:10 a.m. | Dimitrios C. Gklezakos, Rajesh P. N. Rao
cs.LG updates on arXiv.org arxiv.org
We introduce Active Predictive Coding Networks (APCNs), a new class of neural
networks that solve a major problem posed by Hinton and others in the fields of
artificial intelligence and brain modeling: how can neural networks learn
intrinsic reference frames for objects and parse visual scenes into part-whole
hierarchies by dynamically allocating nodes in a parse tree? APCNs address this
problem by using a novel combination of ideas: (1) hypernetworks are used for
dynamically generating recurrent neural networks that predict …
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