Units representing neurons can have binary outputs off or on, use input thresholds, and be in networks. Neural networks {Hopfield net} (John Hopfield) can use recurrence to iteratively determine final values.
convergence
Outcomes are locations and have values. Hopfield nets converge on local minima among set.
training
Training with images can determine locations that represent standard features or objects.
recognition
If local minimum matches location representing feature, Hopfield net recognizes feature in images. In particular, input that is only feature index or cue can lead to the feature, so Hopfield nets can act like memory system {content-addressable memory, Hopfield net}.
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Date Modified: 2022.0224