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? -- https://mail.python.org/mailman/listinfo/python-list
