Solution Space of Perceptron
نویسندگان
چکیده
Above figures show that if the solution space only exists at S=1 space and the initial weights are at S = −1 space, the training path needs to pass the origin to change space. It means w3 changes from positive value to negative value. Compare the learning behaviors of two different initial weights, Wa = [1,−2.5, 2] and Wb = 0.5Wa = [0.5,−1.25, 1], we’ll find the bigger absolute value of w3 causes slower learning period when changing from positive value to negative value. This can explain why the weights of the perceptron to be trained are typically initialized at small random values.
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