Neuron and artificial neuron

The neuron structure of the organism is as follows:

and artificial neurons:

This phenomenon is called bionics.

You can use code to implement two weights of the Perceptron:

W = [0, 0] b = 0 def createdataset (): "" "" "" Create DataSet for Test "" [[3, 3), 1], [(4, 3), 1], [ (1, 1),-1]] def update (item): "" "Update with stochastic gradient descent" "" Global W, b w[0] + it EM[1] * Item[0][0] w[1] + = item[1] * Item[0][1] b = = item[1] def cal (item): "" "Calculate the functional Distance between ' item ' an the dicision surface.
    Output Yi (w*xi+b). "" res = 0 for i in range (len (item[0])): res = item[0][i] * W[i] res + b res *= item[1] ret URN Res def check (training_set): "" "Check if the hyperplane can classify the examples correctly" "FLA
    g = False for item in Training_set:if CAL (item) <= 0:flag = True Update (item) If not Flag:print ("result:w:" + str (w) + "B:" + str (b)) return flag if __name__ = = "__main__": Trai
 Ning_set = CreateDataSet () while check (Training_set): Pass

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