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Simplified example of training a neural network in object detection: The network is trained by multiple images that are known to depict starfish and sea urchins, which are correlated with "nodes" that represent visual features. The starfish match with a ringed texture and a star outline, whereas most sea urchins match with a striped texture and ...
P n 0, P n 1, P n 2, P n 3, ... For every integer n ≥ 0, there are infinitely many n-ary function symbols: f n 0, f n 1, f n 2, f n 3, ... When the arity of a predicate symbol or function symbol is clear from context, the superscript n is often omitted. In this traditional approach, there is only one language of first-order logic. [13]
A touch screen displays choices to the voter, who selects choices, and can change their mind as often as needed, before casting the vote. Staff initialize each voter once on the machine, to avoid repeat voting. Voting data and ballot images are recorded in memory components, and can be copied out at the end of the election.