40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
import numpy as np
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import random
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from sobek.network import network
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random.seed()
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myNetwork = network(1, 10)
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learningRate = 1
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for j in range(100000):
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inputs = []
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desiredOutputs = []
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if (j%50 == 0):
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print(j)
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for i in range(1000):
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inputs.append([random.randrange(10)])
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inputs = np.array(inputs, dtype=object)
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for i in range(1000):
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desiredOutputs.append([0]*10)
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desiredOutputs[i][9 - inputs[i][0]] = 1.0
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desiredOutputs = np.array(desiredOutputs, dtype=object)
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if (j%10000 == 0):
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learningRate*= 0.1
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myNetwork.train(inputs, desiredOutputs, learningRate)
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print(myNetwork.process(np.array([0.0], dtype=object)))
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print(myNetwork.process(np.array([1.0], dtype=object)))
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print(myNetwork.process(np.array([2.0], dtype=object)))
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print(myNetwork.process(np.array([3.0], dtype=object)))
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print(myNetwork.process(np.array([4.0], dtype=object)))
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print(myNetwork.process(np.array([5.0], dtype=object)))
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print(myNetwork.process(np.array([6.0], dtype=object)))
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print(myNetwork.process(np.array([7.0], dtype=object)))
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print(myNetwork.process(np.array([8.0], dtype=object)))
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print(myNetwork.process(np.array([9.0], dtype=object))) |