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concept:feed-forward-networksFeed-forward networks
Networks without feedback loops, such as the Perceptron; limited to linearly separable functions.
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Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Networks for transport via fluid flow (biological vascular, engineered microfluidic); pipe properties adapt locally to control flow conductance and enable learning
- CIMC's current formalization of coherence-maximization as distributed message-passing where processing units negotiate mutual consistency
- Used to update pain beliefs online from observations of happiness
- Spring networks and mechanical systems used to demonstrate physical learning through modifications of bond stiffnesses in response to strain
- Networks with loop connections that can maintain internal state and exhibit dynamical attractors.
- Early Schmidhuber group architecture using residual connections, precursor to the residual stream structure in transformers