1 code implementation • 20 Dec 2017 • Michael Bukatin, Jon Anthony
1) Dataflow matrix machines (DMMs) generalize neural nets by replacing streams of numbers with linear streams (streams supporting linear combinations), allowing arbitrary input and output arities for activation functions, countable-sized networks with finite dynamically changeable active part capable of unbounded growth, and a very expressive self-referential mechanism.
1 code implementation • 3 May 2017 • Michael Bukatin, Jon Anthony
We overview dataflow matrix machines as a Turing complete generalization of recurrent neural networks and as a programming platform.
