68 lines
1.4 KiB
Python
68 lines
1.4 KiB
Python
import numpy as np
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import random
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import time
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from sys import path
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path.insert(1, "..")
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from sobek.network import network
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random.seed()
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myNetwork = network(2, 2, 1)
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learningRate = 3
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test = []
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result = []
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test.append(np.zeros(2))
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test.append(np.zeros(2))
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test.append(np.zeros(2))
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test.append(np.zeros(2))
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test[1][1] = 1.0
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test[2][0] = 1.0
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test[3][0] = 1.0
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test[3][1] = 1.0
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result.append(np.ones(1))
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result.append(np.ones(1))
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result.append(np.ones(1))
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result.append(np.zeros(1))
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learningTime = 0
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nbRep = 1
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for i in range(nbRep):
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if (i%(nbRep/10) == 0): print(i)
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startTime = time.perf_counter()
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myNetwork.train(test, result, learningRate, len(test), 10000, visualize=False)
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endTime = time.perf_counter()
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learningTime += endTime - startTime
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learningTime = learningTime / nbRep
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test = []
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result = []
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test.append(np.zeros(2))
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test.append(np.zeros(2))
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test.append(np.zeros(2))
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test.append(np.zeros(2))
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test[1][1] = 1.0
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test[2][0] = 1.0
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test[3][0] = 1.0
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test[3][1] = 1.0
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result.append(np.ones(1))
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result.append(np.ones(1))
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result.append(np.ones(1))
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result.append(np.zeros(1))
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#print(myNetwork.weights)
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#print(myNetwork.biases)
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print("0 0 : " + str(myNetwork.process(test[0])) + " == 1 ?")
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print("0 1 : " + str(myNetwork.process(test[1])) + " == 1 ?")
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print("1 0 : " + str(myNetwork.process(test[2])) + " == 1 ?")
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print("1 1 : " + str(myNetwork.process(test[3])) + " == 0 ?")
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myNetwork.saveToFile("NAND")
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print("Learning time : " + str(endTime - startTime)) |