Single Neuron From Scratch
Neural Network from Scratch
A glimpse of Single Neuron From Scratch
A small artificial neuron takes several numbers and produces one number. It multiplies each input by a weight, adds the results and a bias, then applies an output rule.
Use two inputs, [2, −1], and weights [0.5, 1]. The weights decide how each input contributes. A bias of 0.5 adds the same offset regardless of the input.
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