Tim Moore

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In a perceptron, a positive weight represents an excitatory connection, and a negative weight an inhibitory one. The perceptron outputs 1 if the weighted sum of its inputs is above threshold, and 0 if it’s below.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
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