{"id":87694,"date":"2024-12-11T02:33:49","date_gmt":"2024-12-10T23:03:49","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/creating-a-simple-and-efficient-genetic-algorithm-for-a-neural-network-with-python-and-numpy-2f98\/"},"modified":"2024-12-11T02:33:49","modified_gmt":"2024-12-10T23:03:49","slug":"creating-a-simple-and-efficient-genetic-algorithm-for-a-neural-network-with-python-and-numpy-2f98","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/creating-a-simple-and-efficient-genetic-algorithm-for-a-neural-network-with-python-and-numpy-2f98\/","title":{"rendered":"\u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0698\u0646\u062a\u06cc\u06a9 \u0633\u0627\u062f\u0647 \u0648 \u06a9\u0627\u0631\u0622\u0645\u062f \u0628\u0631\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0627 Python \u0648 NumPy"},"content":{"rendered":"<p>Summarize this content to 400 words in Persian Lang<br \/>\n          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\u0637\u0648\u0644\u0627\u0646\u06cc \u06a9\u0631\u062f\u0646 \u0646\u0648\u0634\u062a\u0646 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0648 \u0634\u06a9\u0646\u062c\u0647 \u06a9\u0631\u062f\u0646 \u062e\u0648\u0627\u0646\u0646\u062f\u06af\u0627\u0646 \u0628\u0627 \u0637\u0648\u0644\u0627\u0646\u06cc \u0628\u0648\u062f\u0646 \u0622\u0646 \u0646\u06cc\u0633\u062a\u060c \u067e\u0633 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u06a9\u062f \u0622\u0646 \u0628\u0631\u0648\u06cc\u0645. \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0630\u06a9\u0631 \u0634\u062f\u060c \u06a9\u062f \u0633\u0627\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062a\u0648\u0636\u06cc\u062d \u0628\u06cc\u0634\u062a\u0631 \u0622\u0646 \u062f\u0631 \u0645\u0642\u0627\u0644\u0627\u062a \u06a9\u0627\u0645\u0644 \u0646\u06cc\u0633\u062a.<\/p>\n<p>\u0627\u0628\u062a\u062f\u0627 \u0628\u0627\u06cc\u062f \u0645\u0627\u0698\u0648\u0644 \u0647\u0627 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u0645:<\/p>\n<p>import numpy as np<br \/>\nimport random<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>\u0633\u067e\u0633 Dataset \u0648 \u067e\u0627\u0633\u062e \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0622\u0646 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0627\u0645\u0627 \u0646\u0647 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u067e\u0633 \u0627\u0646\u062a\u0634\u0627\u0631\u060c \u0628\u0644\u06a9\u0647 \u0635\u0631\u0641\u0627\u064b \u0628\u0631\u0627\u06cc \u0634\u0645\u0627\u0631\u0634 \u062a\u0639\u062f\u0627\u062f \u067e\u0627\u0633\u062e \u0647\u0627\u06cc \u0635\u062d\u06cc\u062d. \u0633\u067e\u0633 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0628\u0631 \u0631\u0648\u06cc \u0627\u0646\u0648\u0627\u0639 \u062f\u06cc\u06af\u0631 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f\u060c \u06a9\u0647 \u0627\u06a9\u0646\u0648\u0646 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a<\/p>\n<p>x = np.array([[1, 1, 0], [0, 0, 1], [1, 0, 1], [0, 0, 0], [1, 0, 0], [0, 1, 0], [1, 1, 0], [0, 1, 1], [1, 1, 1]])<br \/>\ny = np.array([[0],[1],[1], [0], [0], [0], [0], [1], [1]])<\/p>\n<p>#x = np.array([[0, 1, 1], [0, 0, 1], [1, 0, 1], [0, 1, 0], [1, 0, 0], [1, 1, 0], [0, 0, 0], [1, 1, 0], [1, 1, 1]])<br \/>\n#y = np.array([[1],[0], [0], [1], [0], [1], [0], [1], [1]])<\/p>\n<p>#x = np.array([[1, 1, 0], [0, 0, 1], [1, 0, 1], [0, 1, 0], [1, 0, 0], [0, 0, 0], [1, 1, 0], [0, 1, 1], [1, 1, 1]])<br \/>\n#y = np.array([[1],[0],[1], [0], [1], [0], [1], [0], [1]])<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>\u0644\u06cc\u0633\u062a \u0647\u0627 \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627\u06cc \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u0631\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f. \u0645\u0639\u0646\u06cc \u0644\u06cc\u0633\u062a \u0647\u0627 \u0628\u0639\u062f\u0627 \u0645\u0634\u062e\u0635 \u062e\u0648\u0627\u0647\u062f \u0634\u062f. \u0627\u0648\u0644\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u0633\u06cc\u06af\u0645\u0648\u0626\u06cc\u062f \u0648 \u062f\u0648\u0645\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0622\u0633\u062a\u0627\u0646\u0647 \u0627\u0633\u062a.<\/p>\n<p>listNet = []\nNewNet = []\ngoodNET = []\nGoodNet0 = []\nGoodNet1 = []\nGoodNet2 = []\nGoodNet3 = []\nGoodNet4 = []\nGoodNet5 = []\nGoodNet6 = []\ngood = 0<br \/>\nepoch = 0<\/p>\n<p>good = 0<br \/>\nepoch = 0<\/p>\n<p>def sigmoid(x):<br \/>\n    return 1\/(1 + np.exp(-x))<br \/>\ndef finfunc(x):<br \/>\n    if x[0] &gt;= 0.5:<br \/>\n        x[0] = 1<br \/>\n        return x[0]\n<p>    else:<br \/>\n        x[0] = 0<br \/>\n        return x[0]\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u062f\u0648 \u06a9\u0644\u0627\u0633 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645\u060c \u0627\u0648\u0644\u06cc \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u062c\u0645\u0639\u06cc\u062a \u0627\u0648\u0644\u06cc\u0647\u060c \u0648 \u062f\u0648\u0645\u06cc \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u0645\u0648\u0627\u0631\u062f \u0628\u0639\u062f\u06cc\u060c \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0627\u0631 \u0627\u0648\u0644 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u0648\u0632\u0646 \u0647\u0627 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u0633\u067e\u0633 \u0641\u0642\u0637 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0645\u062a\u0642\u0627\u0637\u0639 \u0648 \u062c\u0647\u0634 \u062f\u0647\u06cc\u0645. \u062a\u0627\u0628\u0639 ()init \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u0648\u0632\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c ()predict \u0628\u0631\u0627\u06cc \u062e\u0648\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0648 \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a\u060c \u0648 \u062a\u0627\u0628\u0639 Fredict () \u0627\u0632 \u0627\u06cc\u0646 \u062c\u0647\u062a \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a \u06a9\u0647 \u067e\u0627\u0633\u062e \u0648 \u062a\u0627\u0628\u0639 \u062a\u0646\u0627\u0633\u0628 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u0627\u0639\u062f\u0627\u062f \u0628\u0631\u0645\u06cc\u200c\u06af\u0631\u062f\u0627\u0646\u062f. \u0631\u0648\u06cc \u0635\u0641\u062d\u0647 \u0646\u0645\u0627\u06cc\u0634 \u0648 \u0645\u0631\u0627\u062d\u0644 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f. \u062f\u0631 \u0644\u0627\u06cc\u0647 \u062e\u0631\u0648\u062c\u06cc \u0627\u0628\u062a\u062f\u0627 \u0627\u0632 \u062a\u0627\u0628\u0639 sigmoid \u0628\u0631\u0627\u06cc \u0646\u0632\u062f\u06cc\u06a9 \u06a9\u0631\u062f\u0646 \u067e\u0627\u0633\u062e \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0648 \u062a\u0646\u0647\u0627 \u067e\u0633 \u0627\u0632 \u0622\u0646 \u062a\u0627\u0628\u0639 \u0622\u0633\u062a\u0627\u0646\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>class Network():<br \/>\n    def __init__(self):<br \/>\n        self.H1 = np.random.randn(3, 6)<br \/>\n        self.O1 = np.random.randn(6, 1)<\/p>\n<p>    def predict(self, x, y):<br \/>\n        t1 = x @ self.H1<br \/>\n        t1 = sigmoid(t1)<br \/>\n        t2 = t1 @ self.O1<br \/>\n        t2 = sigmoid(t2)<br \/>\n        t2 = finfunc(t2)<br \/>\n        if t2 == y[0]:<br \/>\n            global good<br \/>\n            good += 1<\/p>\n<p>    def Fpredict(self, x, y):<br \/>\n        t1 = x @ self.H1<br \/>\n        t1 = sigmoid(t1)<br \/>\n        t2 = t1 @ self.O1<br \/>\n        t2 = sigmoid(t2)<br \/>\n        t2 = finfunc(t2)<br \/>\n        if t2 == y[0]:<br \/>\n            global good<br \/>\n            good += 1<br \/>\n        return t2, good<br \/>\nclass Network1():<br \/>\n    def __init__(self, H1, O1):<br \/>\n        self.H1 = H1<br \/>\n        self.O1 = O1<\/p>\n<p>    def predict(self, x, y):<br \/>\n        t1 = x @ self.H1<br \/>\n        t1 = sigmoid(t1)<br \/>\n        t2 = t1 @ self.O1<br \/>\n        t2 = sigmoid(t2)<br \/>\n        t2 = finfunc(t2)<br \/>\n        if t2 == y[0]:<br \/>\n            global good<br \/>\n            good += 1<br \/>\n    def Fpredict(self, x, y):<br \/>\n        t1 = x @ self.H1<br \/>\n        t1 = sigmoid(t1)<br \/>\n        t2 = t1 @ self.O1<br \/>\n        t2 = sigmoid(t2)<br \/>\n        t2 = finfunc(t2)<br \/>\n        if t2 == y[0]:<br \/>\n            global good<br \/>\n            good += 1<br \/>\n        return t2, good<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>\u0645\u0627 \u0627\u0648\u0644\u06cc\u0646 \u067e\u0627\u0633\u062e \u0647\u0627 \u0648 \u0645\u062a\u063a\u06cc\u0631 \u062e\u0648\u0628 \u0631\u0627 \u06a9\u0647 \u062a\u0627\u0628\u0639 \u062a\u0646\u0627\u0633\u0628 \u0627\u0633\u062a \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u062e\u0631\u0648\u062c\u06cc \u0645\u06cc \u062f\u0647\u06cc\u0645\u060c \u0633\u067e\u0633 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0639\u062f\u06cc \u062a\u0646\u0638\u06cc\u0645 \u0645\u062c\u062f\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0686\u0627\u067e &#39;wait0&#39; (\u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0647\u0631 \u0686\u06cc\u0632\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u06cc\u0646\u062c\u0627 \u0628\u0646\u0648\u06cc\u0633\u06cc\u062f) \u0644\u0627\u0632\u0645 \u0627\u0633\u062a \u062a\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0622\u0646 \u06af\u06cc\u062c \u0646\u0634\u0648\u06cc\u062f. \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u067e\u0627\u0633\u062e \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u062e\u062a\u0644\u0641 \u0622\u063a\u0627\u0632 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>s = Network()<br \/>\nprint(s.Fpredict(x[0], y[0]))<br \/>\nprint(s.Fpredict(x[1], y[1]))<br \/>\nprint(s.Fpredict(x[2], y[2]))<br \/>\nprint(s.Fpredict(x[3], y[3]))<br \/>\nprint(&#8220;wait0&#8221;)<br \/>\ngood = 0<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>\u0686\u0631\u062e\u0647 \u0627\u0648\u0644 \u0645\u06cc \u06af\u0630\u0631\u062f\u060c \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0648 \u062f\u0631 \u062a\u0645\u0627\u0645 \u0686\u0631\u062e\u0647 \u0647\u0627\u06cc \u0628\u0639\u062f\u06cc \u0645\u0627 \u0641\u0642\u0637 \u0634\u0634 \u0633\u0624\u0627\u0644 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u062a\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0686\u0642\u062f\u0631 \u0628\u0627 \u06a9\u0627\u0631 \u0627\u0646\u062c\u0627\u0645 \u0646\u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u06cc\u0639\u0646\u06cc \u0645\u0627 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062c\u0645\u0639 \u0634\u062f\u0646 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0648 \u0627\u06cc\u0646 \u06af\u0627\u0647\u06cc \u0627\u0648\u0642\u0627\u062a \u0627\u062a\u0641\u0627\u0642 \u0645\u06cc \u0627\u0641\u062a\u062f. \u0648 \u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0648\u0627\u0631\u062f \u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631\u06cc \u0634\u0648\u06cc\u0645: \u0628\u0633\u062a\u0647 \u0628\u0647 \u0627\u06cc\u0646\u06a9\u0647 \u0686\u0646\u062f \u067e\u0627\u0633\u062e \u062f\u0631\u0633\u062a \u067e\u0627\u0633\u062e \u062f\u0627\u062f\u0647 \u0627\u0633\u062a\u060c \u0622\u0646 \u0631\u0627 \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0627\u062e\u062a\u0635\u0627\u0635 \u0645\u06cc \u062f\u0647\u06cc\u0645\u060c \u0627\u06af\u0631 \u062a\u0639\u062f\u0627\u062f \u0632\u06cc\u0627\u062f\u06cc \u062f\u0631\u0633\u062a \u0628\u0627\u0634\u062f\u060c \u0628\u0627\u06cc\u062f \u0627\u0632 \u0686\u0646\u06cc\u0646 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u06a9\u0631\u062f\u0647 \u0648 \u062a\u0639\u062f\u0627\u062f \u0622\u0646 \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u06cc\u0645\u060c \u0628\u0647 \u0637\u0648\u0631\u06cc \u06a9\u0647 \u0628\u0627 \u062c\u0647\u0634 \u0647\u0627\u06cc \u0628\u0639\u062f\u06cc \u062c\u0647\u0634 \u0647\u0627\u06cc \u0628\u0627\u0647\u0648\u0634 \u062a\u0631\u06cc \u062e\u0648\u0627\u0647\u0646\u062f \u062f\u0627\u0634\u062a\u060c \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u0635\u0648\u0631 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc 100 \u0646\u0641\u0631 \u06cc\u06a9 \u0646\u0627\u0628\u063a\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a\u060c \u0648 \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0646\u0628\u0648\u063a \u0627\u0648 \u062f\u0631 \u0622\u0646 \u0645\u062d\u0648 \u062e\u0648\u0627\u0647\u062f \u0634\u062f. \u062f\u0631 \u0646\u0633\u0644\u200c\u0647\u0627\u06cc \u0628\u0639\u062f\u06cc\u060c \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u0627\u0633\u062a \u06a9\u0647 \u06cc\u0627 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u062e\u06cc\u0644\u06cc \u0622\u0647\u0633\u062a\u0647 \u06cc\u0627\u062f \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f \u06cc\u0627 \u0627\u0635\u0644\u0627 \u0648\u062c\u0648\u062f \u0646\u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a\u060c \u0628\u0631\u0627\u06cc \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u0627\u0645\u0631\u060c \u062a\u0639\u062f\u0627\u062f \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0631\u0627 \u0628\u0627 \u062a\u0639\u062f\u0627\u062f \u0632\u06cc\u0627\u062f\u06cc \u067e\u0627\u0633\u062e \u0635\u062d\u06cc\u062d \u062f\u0631 \u0686\u0631\u062e\u0647 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645. \u062f\u0631 \u067e\u0627\u06cc\u0627\u0646\u060c \u0644\u06cc\u0633\u062a \u0627\u0635\u0644\u06cc listNet \u0631\u0627 \u062e\u0627\u0644\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u062c\u062f\u06cc\u062f\u06cc \u0627\u0632 \u0644\u06cc\u0633\u062a\u200c\u0647\u0627\u06cc GoodNet \u0631\u0627 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0627\u0632 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0628\u0647 \u0628\u062f\u062a\u0631\u06cc\u0646 \u0628\u0647 \u0622\u0646 \u0627\u062e\u062a\u0635\u0627\u0635 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645\u060c \u0628\u0631\u0627\u06cc \u062c\u0647\u0634 \u0628\u0639\u062f\u06cc \u0628\u0631\u0627\u06cc 100 \u0641\u0631\u062f \u0628\u0631\u062a\u0631\u060c \u0628\u0631\u0634\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645.<\/p>\n<p>for s in range (1000):<br \/>\n    s = Network()<br \/>\n    good = 0<br \/>\n    s.predict(x[0], y[0])<br \/>\n    s.predict(x[1], y[1])<br \/>\n    s.predict(x[2], y[2])<br \/>\n    s.predict(x[3], y[3])<br \/>\n    s.predict(x[4], y[4])<br \/>\n    s.predict(x[5], y[5])<br \/>\n    if good == 6:<br \/>\n        GoodNet6.append(s)<br \/>\n        for r in range(15):<br \/>\n            GoodNet4.append(s)<br \/>\n    elif good == 5:<br \/>\n        GoodNet5.append(s)<br \/>\n        for r in range(10):<br \/>\n            GoodNet4.append(s)<br \/>\n    elif good == 4:<br \/>\n        GoodNet4.append(s)<br \/>\n        for r in range(5):<br \/>\n            GoodNet4.append(s)<br \/>\n    elif good == 3:<br \/>\n        GoodNet3.append(s)<br \/>\n    elif good == 2:<br \/>\n        GoodNet2.append(s)<br \/>\n    elif good == 1:<br \/>\n        GoodNet1.append(s)<br \/>\n    elif good == 0:<br \/>\n        GoodNet0.append(s)<br \/>\n    good = 0<br \/>\nlistNet = []\nlistNet.extend(GoodNet6)<br \/>\nlistNet.extend(GoodNet5)<br \/>\nlistNet.extend(GoodNet4)<br \/>\nlistNet.extend(GoodNet3)<br \/>\nlistNet.extend(GoodNet2)<br \/>\nlistNet.extend(GoodNet1)<br \/>\nGoodNet1 = []\nGoodNet2 = []\nGoodNet3 = []\nGoodNet4 = []\nGoodNet5 = []\nGoodNet6 = []\ngoodNET = listNet[:100]\nlistNet = goodNET<br \/>\ngoodNET = []\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>\u062e\u0648\u062f \u062a\u0644\u0627\u0642\u06cc \u0648 \u062c\u0647\u0634: \u06cc\u06a9 \u0642\u0633\u0645\u062a \u0631\u0627 \u0627\u0632 \u0648\u0627\u0644\u062f \u0627\u0648\u0644 \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645\u060c \u0642\u0633\u0645\u062a \u062f\u0648\u0645 \u0631\u0627 \u0627\u0632 \u062f\u0648\u0645\u06cc\u060c \u062c\u0647\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u06cc\u06a9 \u0641\u0631\u0632\u0646\u062f \u062f\u0631 \u0644\u06cc\u0633\u062a NewNet \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 1000 \u0628\u0627\u0631.<\/p>\n<p>for g in range(1000):<br \/>\n    parent1 = random.choice(listNet)<br \/>\n    parent2 = random.choice(listNet)<br \/>\n    ch1H = np.vstack((parent1.H1[:1], parent2.H1[1:])) * random.uniform(-0.2, 0.2)<br \/>\n    ch1O = parent1.O1 * random.uniform(-0.2, 0.2)<br \/>\n    g = Network1(ch1H, ch1O)<br \/>\n    NewNet.append(g)<br \/>\nlistNet = NewNet<br \/>\nNewNet = []\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>\u0628\u0627 \u0634\u0631\u0648\u0639 \u0627\u0632 \u0642\u0633\u0645\u062a \u0642\u0628\u0644\u06cc \u06a9\u062f\u060c \u0627\u0632 Network1() \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0632\u06cc\u0631\u0627 \u0627\u06a9\u0646\u0648\u0646 \u062f\u0631 \u062d\u0627\u0644 \u0639\u0628\u0648\u0631 \u0648 \u062c\u0647\u0634 \u0647\u0633\u062a\u06cc\u0645\u060c \u0627\u0645\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0627\u06cc\u062f 1000 \u0628\u0627\u0631 \u062a\u06a9\u0631\u0627\u0631 \u06a9\u0646\u06cc\u0645 (\u0627\u06cc\u0646 \u06cc\u06a9 \u0641\u0631\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627 \u0631\u0627 \u062e\u0648\u062f\u062a\u0627\u0646 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f\u060c 15 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0645\u0646 \u06a9\u0627\u0641\u06cc \u0628\u0648\u062f)\u060c \u067e\u0627\u0633\u062e \u0647\u0627 \u0631\u0627 \u062f\u0631 \u062f\u0648\u0631\u0647 \u0627\u0648\u0644 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 1000 \u0646\u0633\u062e\u0647 \u0646\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a (\u0627\u06af\u0631 \u062f\u0627\u0631\u06cc\u062f\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c 20\u060c \u0633\u067e\u0633 20 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u062f). \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06a9\u062f \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc \u0634\u0648\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0646 \u0622\u0646 \u0631\u0627 \u062a\u0648\u0635\u06cc\u0641 \u0646\u0645\u06cc \u06a9\u0646\u0645\u060c \u0647\u0645\u0647 \u0686\u06cc\u0632 \u062f\u0631 \u0622\u0646\u062c\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0648\u0627\u0636\u062d \u0627\u0633\u062a.<\/p>\n<p>for i in range(1000):<br \/>\n    good = 0<br \/>\n    epoch += 1<br \/>\n    for s in listNet:<br \/>\n      good = 0<br \/>\n      s.predict(x[0], y[0])<br \/>\n      s.predict(x[1], y[1])<br \/>\n      s.predict(x[2], y[2])<br \/>\n      s.predict(x[3], y[3])<br \/>\n      s.predict(x[4], y[4])<br \/>\n      s.predict(x[5], y[5])<br \/>\n      if good == 6:<br \/>\n          GoodNet6.append(s)<br \/>\n          for r in range(15):<br \/>\n              GoodNet4.append(s)<br \/>\n      elif good == 5:<br \/>\n          GoodNet5.append(s)<br \/>\n          for r in range(10):<br \/>\n              GoodNet4.append(s)<br \/>\n      elif good == 4:<br \/>\n          GoodNet4.append(s)<br \/>\n          for r in range(5):<br \/>\n              GoodNet4.append(s)<br \/>\n      elif good == 3:<br \/>\n          GoodNet3.append(s)<br \/>\n      elif good == 2:<br \/>\n          GoodNet2.append(s)<br \/>\n      elif good == 1:<br \/>\n          GoodNet1.append(s)<br \/>\n      elif good == 0:<br \/>\n          GoodNet0.append(s)<br \/>\n      good = 0<br \/>\n    listNet = []\n    listNet.extend(GoodNet6)<br \/>\n    listNet.extend(GoodNet5)<br \/>\n    listNet.extend(GoodNet4)<br \/>\n    listNet.extend(GoodNet3)<br \/>\n    listNet.extend(GoodNet2)<br \/>\n    listNet.extend(GoodNet1)<br \/>\n    GoodNet1 = []\n    GoodNet2 = []\n    GoodNet3 = []\n    GoodNet4 = []\n    GoodNet5 = []\n    GoodNet6 = []\n    goodNET = listNet[:100]\n    listNet = goodNET<br \/>\n    goodNET = []\n    if epoch == 1000:<\/p>\n<p>        print(listNet[0].Fpredict(x[0], y[0]))<br \/>\n        print(listNet[0].Fpredict(x[1], y[1]))<br \/>\n        print(listNet[0].Fpredict(x[2], y[2]))<br \/>\n        print(listNet[0].Fpredict(x[3], y[3]))<br \/>\n        print(listNet[0].Fpredict(x[4], y[4]))<br \/>\n        print(listNet[0].Fpredict(x[5], y[5]))<br \/>\n        print(listNet[0].Fpredict(x[6], y[6]))<br \/>\n        print(listNet[0].Fpredict(x[7], y[7]))<br \/>\n        print(listNet[0].Fpredict(x[8], y[8]))<\/p>\n<p>        good = 0<br \/>\n        print(&#8216;wait&#8217;)<br \/>\n    elif epoch == 1:<\/p>\n<p>        good = 0<br \/>\n        print(listNet[0].Fpredict(x[0], y[0]))<br \/>\n        print(listNet[0].Fpredict(x[1], y[1]))<br \/>\n        print(listNet[0].Fpredict(x[2], y[2]))<br \/>\n        print(listNet[0].Fpredict(x[3], y[3]))<br \/>\n        print(&#8216;wait1&#8217;)<br \/>\n    for g in range(1000):<br \/>\n        parent1 = random.choice(listNet)<\/p>\n<p>        parent2 = random.choice(listNet)<br \/>\n        ch1H = np.vstack((parent1.H1[:1], parent2.H1[1:])) * random.uniform(-2, 2)<br \/>\n        ch1O = parent1.O1 * random.uniform(2, 2)<br \/>\n        g = Network1(ch1H, ch1O)<br \/>\n        NewNet.append(g)<br \/>\n    listNet = NewNet<\/p>\n<p>    \u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/p>\n<p>    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/p>\n<p>\u0627\u06cc\u0646 \u0647\u0645\u0647 \u0627\u0633\u062a\u060c \u0627\u0644\u06af\u0648\u06cc\u06cc \u06a9\u0647 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0627\u06cc\u062f \u067e\u06cc\u062f\u0627 \u06a9\u0646\u062f\u060c \u0627\u06cc\u0646 \u0647\u0645\u0627\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0646\u0633\u062e\u0647 \u0646\u0647\u0627\u06cc\u06cc \u0628\u0647 \u0639\u062f\u062f (\u0627\u0648\u0644\u060c \u062f\u0648\u0645\u060c \u0633\u0648\u0645) \u0648\u0627\u0628\u0633\u062a\u0647 \u0627\u0633\u062a \u0648 \u0628\u0642\u06cc\u0647 \u0631\u0627 \u0646\u0627\u062f\u06cc\u062f\u0647 \u0645\u06cc \u06af\u06cc\u0631\u062f. \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u0646\u0637\u0642\u06cc (XOR\u060c NOT\u060c AND &#8230;) \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f\u060c \u0641\u0642\u0637 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u062f\u0631 \u06a9\u0644\u0627\u0633 \u0634\u0628\u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u062f\u0648 \u0628\u0631\u0627\u0628\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f\u060c \u0645\u0646 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0627\u0632 \u0642\u0627\u0646\u0648\u0646 \u067e\u06cc\u0631\u0648\u06cc \u06a9\u0631\u062f\u0645 \u06a9\u0647 \u0646\u0648\u0631\u0648\u0646 \u0647\u0627 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\u0646\u0645\u0648\u0646\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u0628\u0647 \u0622\u0646 \u0628\u062f\u0647\u06cc\u062f. \u0628\u0647 \u0637\u0648\u0631\u06cc \u06a9\u0647 \u0627\u0644\u06af\u0648 \u0631\u0627 \u0628\u0641\u0647\u0645\u062f\u060c \u0645\u062b\u0644\u0627\u064b \u0627\u06af\u0631 \u06cc\u06a9 \u0628\u0644\u0648\u06a9 XOR \u0628\u0633\u0627\u0632\u06cc\u062f\u060c \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u06af\u0632\u06cc\u0646\u0647 \u0628\u0627 \u062f\u0648 \u06af\u0632\u06cc\u0646\u0647 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0627\u0645\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u0646\u0637\u0642\u06cc\u060c \u0628\u0627\u06cc\u062f \u0647\u0645\u0647 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627 \u0631\u0627 \u0628\u062f\u0647\u06cc\u062f\u060c \u0632\u06cc\u0631\u0627 \u062a\u0639\u062f\u0627\u062f \u0622\u0646\u0647\u0627 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0645 \u0627\u0633\u062a. \u0622\u0646\u0647\u0627 \u0648 \u0647\u06cc\u0686 \u0686\u06cc\u0632 \u0646\u0645\u06cc \u0641\u0647\u0645\u062f. \u0647\u0645\u06cc\u0646!!! \u0645\u0637\u0644\u0628 \u0628\u0639\u062f\u06cc (\u062d\u062a\u0645\u0627 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f!): \u0628\u0647 \u0632\u0648\u062f\u06cc\u2026\u06a9\u062f: https:\/\/github.com\/LanskoyKirill\/GenNumPy.git<\/p>\n<p>\u0633\u0627\u06cc\u062a \u0645\u0646 (\u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u062d\u0627\u0644 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0628\u0627\u0634\u062f): selfrobotics.space<\/p>\n<div data-article-id=\"2150534\" id=\"article-body\">\n<p>\u0627\u06cc\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0632 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062a\u06a9\u0627\u0645\u0644 \u062f\u0631 ML \u0627\u0633\u062a.<\/p>\n<p>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0698\u0646\u062a\u06cc\u06a9 \u0632\u0645\u0627\u0646\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u062e\u0648\u062f \u0631\u0627 \u0645\u06cc \u062f\u0627\u0646\u06cc\u062f\u060c \u0627\u0645\u0627 \u0646\u0645\u06cc \u062f\u0627\u0646\u06cc\u062f \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f \u0686\u0647 \u0628\u0627\u0634\u062f\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0627\u0632 \u0627\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u06cc Google Dinosaur \u06cc\u0627 Flappy Bird \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u060c \u0632\u06cc\u0631\u0627 \u062f\u0631 \u0622\u0646\u062c\u0627 \u0634\u0645\u0627 \u0646\u0645\u06cc \u062f\u0627\u0646\u06cc\u062f \u062e\u0631\u0648\u062c\u06cc \u0686\u06cc\u0633\u062a. \u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f\u060c \u0627\u0645\u0627 \u0634\u0645\u0627 \u0627\u06cc\u0646 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u0631\u0627 \u062f\u0627\u0631\u06cc\u062f \u06a9\u0647 \u0639\u0645\u0644\u06cc \u062a\u0631\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627 \u0631\u0627 \u0645\u0631\u062a\u0628 \u06a9\u0646\u06cc\u062f\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0632\u0645\u0627\u0646\u060c \u0627\u06cc\u0646 \u0631\u0627 \u062a\u0648\u0627\u0628\u0639 \u062a\u0646\u0627\u0633\u0628 \u0627\u0646\u062f\u0627\u0645 \u0645\u06cc \u0646\u0627\u0645\u0646\u062f.<\/p>\n<p>\u0645\u0646 \u0647\u0631\u06af\u0632 \u0646\u062a\u0648\u0627\u0646\u0633\u062a\u0645 \u0686\u0646\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u06cc \u0631\u0627 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u0645 \u06a9\u0647 \u06a9\u0627\u0631 \u06a9\u0646\u062f\u060c \u0633\u0627\u062f\u0647 \u0648 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0627\u0634\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0634\u0631\u0648\u0639 \u06a9\u0631\u062f\u0645 \u0628\u0647 \u0627\u06cc\u062c\u0627\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0698\u0646\u062a\u06cc\u06a9 \u0633\u0628\u06a9\u060c \u0633\u0627\u062f\u0647 \u0648 \u06a9\u0627\u0645\u0644\u0627\u064b \u06a9\u0627\u0631\u0622\u0645\u062f \u062e\u0648\u062f\u0645.<\/p>\n<p>\u0647\u062f\u0641 \u0645\u0646 \u0637\u0648\u0644\u0627\u0646\u06cc \u06a9\u0631\u062f\u0646 \u0646\u0648\u0634\u062a\u0646 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0648 \u0634\u06a9\u0646\u062c\u0647 \u06a9\u0631\u062f\u0646 \u062e\u0648\u0627\u0646\u0646\u062f\u06af\u0627\u0646 \u0628\u0627 \u0637\u0648\u0644\u0627\u0646\u06cc \u0628\u0648\u062f\u0646 \u0622\u0646 \u0646\u06cc\u0633\u062a\u060c \u067e\u0633 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u06a9\u062f \u0622\u0646 \u0628\u0631\u0648\u06cc\u0645. \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0630\u06a9\u0631 \u0634\u062f\u060c \u06a9\u062f \u0633\u0627\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062a\u0648\u0636\u06cc\u062d \u0628\u06cc\u0634\u062a\u0631 \u0622\u0646 \u062f\u0631 \u0645\u0642\u0627\u0644\u0627\u062a \u06a9\u0627\u0645\u0644 \u0646\u06cc\u0633\u062a.<\/p>\n<p>\u0627\u0628\u062a\u062f\u0627 \u0628\u0627\u06cc\u062f \u0645\u0627\u0698\u0648\u0644 \u0647\u0627 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u0645:<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight plaintext\"><code>import numpy as np\nimport random\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0633\u067e\u0633 Dataset \u0648 \u067e\u0627\u0633\u062e \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0622\u0646 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0627\u0645\u0627 \u0646\u0647 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u067e\u0633 \u0627\u0646\u062a\u0634\u0627\u0631\u060c \u0628\u0644\u06a9\u0647 \u0635\u0631\u0641\u0627\u064b \u0628\u0631\u0627\u06cc \u0634\u0645\u0627\u0631\u0634 \u062a\u0639\u062f\u0627\u062f \u067e\u0627\u0633\u062e \u0647\u0627\u06cc \u0635\u062d\u06cc\u062d. \u0633\u067e\u0633 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0628\u0631 \u0631\u0648\u06cc \u0627\u0646\u0648\u0627\u0639 \u062f\u06cc\u06af\u0631 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f\u060c \u06a9\u0647 \u0627\u06a9\u0646\u0648\u0646 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight plaintext\"><code>x = np.array([[1, 1, 0], [0, 0, 1], [1, 0, 1], [0, 0, 0], [1, 0, 0], [0, 1, 0], [1, 1, 0], [0, 1, 1], [1, 1, 1]])\ny = np.array([[0],[1],[1], [0], [0], [0], [0], [1], [1]])\n\n#x = np.array([[0, 1, 1], [0, 0, 1], [1, 0, 1], [0, 1, 0], [1, 0, 0], [1, 1, 0], [0, 0, 0], [1, 1, 0], [1, 1, 1]])\n#y = np.array([[1],[0], [0], [1], [0], [1], [0], [1], [1]])\n\n#x = np.array([[1, 1, 0], [0, 0, 1], [1, 0, 1], [0, 1, 0], [1, 0, 0], [0, 0, 0], [1, 1, 0], [0, 1, 1], [1, 1, 1]])\n#y = np.array([[1],[0],[1], [0], [1], [0], [1], [0], [1]])\n\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0644\u06cc\u0633\u062a \u0647\u0627 \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627\u06cc \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u0631\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f. \u0645\u0639\u0646\u06cc \u0644\u06cc\u0633\u062a \u0647\u0627 \u0628\u0639\u062f\u0627 \u0645\u0634\u062e\u0635 \u062e\u0648\u0627\u0647\u062f \u0634\u062f. \u0627\u0648\u0644\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u0633\u06cc\u06af\u0645\u0648\u0626\u06cc\u062f \u0648 \u062f\u0648\u0645\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0622\u0633\u062a\u0627\u0646\u0647 \u0627\u0633\u062a.<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight plaintext\"><code>listNet = []\nNewNet = []\ngoodNET = []\nGoodNet0 = []\nGoodNet1 = []\nGoodNet2 = []\nGoodNet3 = []\nGoodNet4 = []\nGoodNet5 = []\nGoodNet6 = []\ngood = 0\nepoch = 0\n\ngood = 0\nepoch = 0\n\ndef sigmoid(x):\n    return 1\/(1 + np.exp(-x)) \ndef finfunc(x):\n    if x[0] &gt;= 0.5:\n        x[0] = 1\n        return x[0]\n\n    else:\n        x[0] = 0\n        return x[0]\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u062f\u0648 \u06a9\u0644\u0627\u0633 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645\u060c \u0627\u0648\u0644\u06cc \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u062c\u0645\u0639\u06cc\u062a \u0627\u0648\u0644\u06cc\u0647\u060c \u0648 \u062f\u0648\u0645\u06cc \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u0645\u0648\u0627\u0631\u062f \u0628\u0639\u062f\u06cc\u060c \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0627\u0631 \u0627\u0648\u0644 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u0648\u0632\u0646 \u0647\u0627 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u0633\u067e\u0633 \u0641\u0642\u0637 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0645\u062a\u0642\u0627\u0637\u0639 \u0648 \u062c\u0647\u0634 \u062f\u0647\u06cc\u0645. \u062a\u0627\u0628\u0639 ()init \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646 \u0648\u0632\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c ()predict \u0628\u0631\u0627\u06cc \u062e\u0648\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0648 \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a\u060c \u0648 \u062a\u0627\u0628\u0639 Fredict () \u0627\u0632 \u0627\u06cc\u0646 \u062c\u0647\u062a \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a \u06a9\u0647 \u067e\u0627\u0633\u062e \u0648 \u062a\u0627\u0628\u0639 \u062a\u0646\u0627\u0633\u0628 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0634 \u0627\u0639\u062f\u0627\u062f \u0628\u0631\u0645\u06cc\u200c\u06af\u0631\u062f\u0627\u0646\u062f. \u0631\u0648\u06cc \u0635\u0641\u062d\u0647 \u0646\u0645\u0627\u06cc\u0634 \u0648 \u0645\u0631\u0627\u062d\u0644 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f. \u062f\u0631 \u0644\u0627\u06cc\u0647 \u062e\u0631\u0648\u062c\u06cc \u0627\u0628\u062a\u062f\u0627 \u0627\u0632 \u062a\u0627\u0628\u0639 sigmoid \u0628\u0631\u0627\u06cc \u0646\u0632\u062f\u06cc\u06a9 \u06a9\u0631\u062f\u0646 \u067e\u0627\u0633\u062e \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0648 \u062a\u0646\u0647\u0627 \u067e\u0633 \u0627\u0632 \u0622\u0646 \u062a\u0627\u0628\u0639 \u0622\u0633\u062a\u0627\u0646\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight plaintext\"><code>class Network():\n    def __init__(self):\n        self.H1 = np.random.randn(3, 6)\n        self.O1 = np.random.randn(6, 1)\n\n    def predict(self, x, y):\n        t1 = x @ self.H1\n        t1 = sigmoid(t1)\n        t2 = t1 @ self.O1\n        t2 = sigmoid(t2)\n        t2 = finfunc(t2)\n        if t2 == y[0]:\n            global good\n            good += 1\n\n    def Fpredict(self, x, y):\n        t1 = x @ self.H1\n        t1 = sigmoid(t1)\n        t2 = t1 @ self.O1\n        t2 = sigmoid(t2)\n        t2 = finfunc(t2)\n        if t2 == y[0]:\n            global good\n            good += 1\n        return t2, good\nclass Network1():\n    def __init__(self, H1, O1):\n        self.H1 = H1\n        self.O1 = O1\n\n\n    def predict(self, x, y):\n        t1 = x @ self.H1\n        t1 = sigmoid(t1)\n        t2 = t1 @ self.O1\n        t2 = sigmoid(t2)\n        t2 = finfunc(t2)\n        if t2 == y[0]:\n            global good\n            good += 1\n    def Fpredict(self, x, y):\n        t1 = x @ self.H1\n        t1 = sigmoid(t1)\n        t2 = t1 @ self.O1\n        t2 = sigmoid(t2)\n        t2 = finfunc(t2)\n        if t2 == y[0]:\n            global good\n            good += 1\n        return t2, good\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0645\u0627 \u0627\u0648\u0644\u06cc\u0646 \u067e\u0627\u0633\u062e \u0647\u0627 \u0648 \u0645\u062a\u063a\u06cc\u0631 \u062e\u0648\u0628 \u0631\u0627 \u06a9\u0647 \u062a\u0627\u0628\u0639 \u062a\u0646\u0627\u0633\u0628 \u0627\u0633\u062a \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u062e\u0631\u0648\u062c\u06cc \u0645\u06cc \u062f\u0647\u06cc\u0645\u060c \u0633\u067e\u0633 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0639\u062f\u06cc \u062a\u0646\u0638\u06cc\u0645 \u0645\u062c\u062f\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0686\u0627\u067e &#39;wait0&#39; (\u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0647\u0631 \u0686\u06cc\u0632\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u06cc\u0646\u062c\u0627 \u0628\u0646\u0648\u06cc\u0633\u06cc\u062f) \u0644\u0627\u0632\u0645 \u0627\u0633\u062a \u062a\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0622\u0646 \u06af\u06cc\u062c \u0646\u0634\u0648\u06cc\u062f. \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u067e\u0627\u0633\u062e \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u062e\u062a\u0644\u0641 \u0622\u063a\u0627\u0632 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight plaintext\"><code>s = Network()\nprint(s.Fpredict(x[0], y[0]))\nprint(s.Fpredict(x[1], y[1]))\nprint(s.Fpredict(x[2], y[2]))\nprint(s.Fpredict(x[3], y[3]))\nprint(\"wait0\")\ngood = 0\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0686\u0631\u062e\u0647 \u0627\u0648\u0644 \u0645\u06cc \u06af\u0630\u0631\u062f\u060c \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0648 \u062f\u0631 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\u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u062c\u062f\u06cc\u062f\u06cc \u0627\u0632 \u0644\u06cc\u0633\u062a\u200c\u0647\u0627\u06cc GoodNet \u0631\u0627 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0627\u0632 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0628\u0647 \u0628\u062f\u062a\u0631\u06cc\u0646 \u0628\u0647 \u0622\u0646 \u0627\u062e\u062a\u0635\u0627\u0635 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645\u060c \u0628\u0631\u0627\u06cc \u062c\u0647\u0634 \u0628\u0639\u062f\u06cc \u0628\u0631\u0627\u06cc 100 \u0641\u0631\u062f \u0628\u0631\u062a\u0631\u060c \u0628\u0631\u0634\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645.<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight plaintext\"><code>for s in range (1000):\n    s = Network()\n    good = 0\n    s.predict(x[0], y[0])\n    s.predict(x[1], y[1])\n    s.predict(x[2], y[2])\n    s.predict(x[3], y[3])\n    s.predict(x[4], y[4])\n    s.predict(x[5], y[5])\n    if good == 6:\n        GoodNet6.append(s)\n        for r in range(15):\n            GoodNet4.append(s)\n    elif good == 5:\n        GoodNet5.append(s)\n        for r in range(10):\n            GoodNet4.append(s)\n    elif good == 4:\n        GoodNet4.append(s)\n        for r in range(5):\n            GoodNet4.append(s)\n    elif good == 3:\n        GoodNet3.append(s)\n    elif good == 2:\n        GoodNet2.append(s)\n    elif good == 1:\n        GoodNet1.append(s)\n    elif good == 0:\n        GoodNet0.append(s)\n    good = 0\nlistNet = []\nlistNet.extend(GoodNet6)\nlistNet.extend(GoodNet5)\nlistNet.extend(GoodNet4)\nlistNet.extend(GoodNet3)\nlistNet.extend(GoodNet2)\nlistNet.extend(GoodNet1)\nGoodNet1 = []\nGoodNet2 = []\nGoodNet3 = []\nGoodNet4 = []\nGoodNet5 = []\nGoodNet6 = []\ngoodNET = listNet[:100]\nlistNet = goodNET\ngoodNET = []\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u062e\u0648\u062f \u062a\u0644\u0627\u0642\u06cc \u0648 \u062c\u0647\u0634: \u06cc\u06a9 \u0642\u0633\u0645\u062a \u0631\u0627 \u0627\u0632 \u0648\u0627\u0644\u062f \u0627\u0648\u0644 \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645\u060c \u0642\u0633\u0645\u062a \u062f\u0648\u0645 \u0631\u0627 \u0627\u0632 \u062f\u0648\u0645\u06cc\u060c \u062c\u0647\u0634 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u06cc\u06a9 \u0641\u0631\u0632\u0646\u062f \u062f\u0631 \u0644\u06cc\u0633\u062a NewNet \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 1000 \u0628\u0627\u0631.<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight plaintext\"><code>for g in range(1000):\n    parent1 = random.choice(listNet)\n    parent2 = random.choice(listNet)\n    ch1H = np.vstack((parent1.H1[:1], parent2.H1[1:])) * random.uniform(-0.2, 0.2)\n    ch1O = parent1.O1 * random.uniform(-0.2, 0.2)\n    g = Network1(ch1H, ch1O)\n    NewNet.append(g)\nlistNet = NewNet\nNewNet = []\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0628\u0627 \u0634\u0631\u0648\u0639 \u0627\u0632 \u0642\u0633\u0645\u062a \u0642\u0628\u0644\u06cc \u06a9\u062f\u060c \u0627\u0632 Network1() \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0632\u06cc\u0631\u0627 \u0627\u06a9\u0646\u0648\u0646 \u062f\u0631 \u062d\u0627\u0644 \u0639\u0628\u0648\u0631 \u0648 \u062c\u0647\u0634 \u0647\u0633\u062a\u06cc\u0645\u060c \u0627\u0645\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u06cc\u062c\u0627\u062f \u0646\u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0627\u06cc\u062f 1000 \u0628\u0627\u0631 \u062a\u06a9\u0631\u0627\u0631 \u06a9\u0646\u06cc\u0645 (\u0627\u06cc\u0646 \u06cc\u06a9 \u0641\u0631\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627 \u0631\u0627 \u062e\u0648\u062f\u062a\u0627\u0646 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f\u060c 15 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0645\u0646 \u06a9\u0627\u0641\u06cc \u0628\u0648\u062f)\u060c \u067e\u0627\u0633\u062e \u0647\u0627 \u0631\u0627 \u062f\u0631 \u062f\u0648\u0631\u0647 \u0627\u0648\u0644 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 1000 \u0646\u0633\u062e\u0647 \u0646\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a (\u0627\u06af\u0631 \u062f\u0627\u0631\u06cc\u062f\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c 20\u060c \u0633\u067e\u0633 20 \u0631\u0627 \u0645\u0634\u062e\u0635 \u06a9\u0646\u06cc\u062f). \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u06a9\u062f \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc \u0634\u0648\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0646 \u0622\u0646 \u0631\u0627 \u062a\u0648\u0635\u06cc\u0641 \u0646\u0645\u06cc \u06a9\u0646\u0645\u060c \u0647\u0645\u0647 \u0686\u06cc\u0632 \u062f\u0631 \u0622\u0646\u062c\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0648\u0627\u0636\u062d \u0627\u0633\u062a.<\/p>\n<div class=\"highlight js-code-highlight\">\n<pre class=\"highlight plaintext\"><code>for i in range(1000):\n    good = 0\n    epoch += 1\n    for s in listNet:\n      good = 0\n      s.predict(x[0], y[0])\n      s.predict(x[1], y[1])\n      s.predict(x[2], y[2])\n      s.predict(x[3], y[3])\n      s.predict(x[4], y[4])\n      s.predict(x[5], y[5])\n      if good == 6:\n          GoodNet6.append(s)\n          for r in range(15):\n              GoodNet4.append(s)\n      elif good == 5:\n          GoodNet5.append(s)\n          for r in range(10):\n              GoodNet4.append(s)\n      elif good == 4:\n          GoodNet4.append(s)\n          for r in range(5):\n              GoodNet4.append(s)\n      elif good == 3:\n          GoodNet3.append(s)\n      elif good == 2:\n          GoodNet2.append(s)\n      elif good == 1:\n          GoodNet1.append(s)\n      elif good == 0:\n          GoodNet0.append(s)\n      good = 0\n    listNet = []\n    listNet.extend(GoodNet6)\n    listNet.extend(GoodNet5)\n    listNet.extend(GoodNet4)\n    listNet.extend(GoodNet3)\n    listNet.extend(GoodNet2)\n    listNet.extend(GoodNet1)\n    GoodNet1 = []\n    GoodNet2 = []\n    GoodNet3 = []\n    GoodNet4 = []\n    GoodNet5 = []\n    GoodNet6 = []\n    goodNET = listNet[:100]\n    listNet = goodNET\n    goodNET = []\n    if epoch == 1000:\n\n        print(listNet[0].Fpredict(x[0], y[0]))\n        print(listNet[0].Fpredict(x[1], y[1]))\n        print(listNet[0].Fpredict(x[2], y[2]))\n        print(listNet[0].Fpredict(x[3], y[3]))\n        print(listNet[0].Fpredict(x[4], y[4]))\n        print(listNet[0].Fpredict(x[5], y[5]))\n        print(listNet[0].Fpredict(x[6], y[6]))\n        print(listNet[0].Fpredict(x[7], y[7]))\n        print(listNet[0].Fpredict(x[8], y[8]))\n\n        good = 0\n        print('wait')\n    elif epoch == 1:\n\n        good = 0\n        print(listNet[0].Fpredict(x[0], y[0]))\n        print(listNet[0].Fpredict(x[1], y[1]))\n        print(listNet[0].Fpredict(x[2], y[2]))\n        print(listNet[0].Fpredict(x[3], y[3]))\n        print('wait1')\n    for g in range(1000):\n        parent1 = random.choice(listNet)\n\n        parent2 = random.choice(listNet)\n        ch1H = np.vstack((parent1.H1[:1], parent2.H1[1:])) * random.uniform(-2, 2)\n        ch1O = parent1.O1 * random.uniform(2, 2)\n        g = Network1(ch1H, ch1O)\n        NewNet.append(g)\n    listNet = NewNet\n<\/code><\/pre>\n<div class=\"highlight__panel js-actions-panel\">\n<div class=\"highlight__panel-action js-fullscreen-code-action\">\n    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-on\"><title>\u0648\u0627\u0631\u062f \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M16 3h6v6h-2V5h-4V3zM2 3h6v2H4v4H2V3zm18 16v-4h2v6h-6v-2h4zM4 19h4v2H2v-6h2v4z\"\/>\n<\/svg><\/p>\n<p>    <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" class=\"highlight-action crayons-icon highlight-action--fullscreen-off\"><title>\u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    <path d=\"M18 7h4v2h-6V3h2v4zM8 9H2V7h4V3h2v6zm10 8v4h-2v-6h6v2h-4zM8 15v6H6v-4H2v-2h6z\"\/>\n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0627\u06cc\u0646 \u0647\u0645\u0647 \u0627\u0633\u062a\u060c \u0627\u0644\u06af\u0648\u06cc\u06cc \u06a9\u0647 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0627\u06cc\u062f \u067e\u06cc\u062f\u0627 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\u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0627\u0645\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0639\u0645\u0644\u06cc\u0627\u062a \u0645\u0646\u0637\u0642\u06cc\u060c \u0628\u0627\u06cc\u062f \u0647\u0645\u0647 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627 \u0631\u0627 \u0628\u062f\u0647\u06cc\u062f\u060c \u0632\u06cc\u0631\u0627 \u062a\u0639\u062f\u0627\u062f \u0622\u0646\u0647\u0627 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0645 \u0627\u0633\u062a. \u0622\u0646\u0647\u0627 \u0648 \u0647\u06cc\u0686 \u0686\u06cc\u0632 \u0646\u0645\u06cc \u0641\u0647\u0645\u062f. <br \/>\u0647\u0645\u06cc\u0646!!! \u0645\u0637\u0644\u0628 \u0628\u0639\u062f\u06cc (\u062d\u062a\u0645\u0627 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f!): \u0628\u0647 \u0632\u0648\u062f\u06cc\u2026<br \/>\u06a9\u062f: https:\/\/github.com\/LanskoyKirill\/GenNumPy.git<\/p>\n<p>\u0633\u0627\u06cc\u062a \u0645\u0646 (\u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u062d\u0627\u0644 \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0628\u0627\u0634\u062f): selfrobotics.space<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Summarize this content to 400 words in Persian Lang \u0627\u06cc\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0632 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062a\u06a9\u0627\u0645\u0644 \u062f\u0631 ML \u0627\u0633\u062a. \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0698\u0646\u062a\u06cc\u06a9 \u0632\u0645\u0627\u0646\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u062e\u0648\u062f \u0631\u0627 \u0645\u06cc \u062f\u0627\u0646\u06cc\u062f\u060c \u0627\u0645\u0627 \u0646\u0645\u06cc \u062f\u0627\u0646\u06cc\u062f \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f \u0686\u0647 \u0628\u0627\u0634\u062f\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0627\u0632 \u0627\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u06cc &hellip;<\/p>\n","protected":false},"author":2,"featured_media":87695,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-87694","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dev"],"_links":{"self":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/87694","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/comments?post=87694"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/87694\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/87695"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=87694"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=87694"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=87694"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}