Must target be only one bit one such as 0001,0010,0100,1000 In supervised neural learning f(w*p+b) with perceptron rule w = w + e for linear case?

Ho Yeung Lee jobmattcon at gmail.com
Thu Jan 19 03:04:30 EST 2017


Must target be only one bit one such as 0001,0010,0100,1000 In supervised neural learning f(w*p+b) with perceptron rule w = w + e for linear case?

with neural network design

does it means that can not use two or more one as target such as 0011,0110,1100,1010, 0111,1110,1101, etc when training weight?


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