22 lines
953 B
Python
22 lines
953 B
Python
#RUN
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import mnist_loader
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training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
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import network
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import dataset_loader
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net = network.Network([262144,50, 20, 30, 10]) #Testé : 94,56%
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net.SGD(dataset_loader.loadTrainingSet("training"), 30, 10, 3.0, test_data=dataset_loader.loadTestSet("test"))
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#net = network.Network([784, 100, 10]) #Marche mieux apparemment
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#net.SGD(dataset_loader.loadTrainingSet("setcomplete"), 30, 10, 3.0, test_data=dataset_loader.loadTestSet("setcomplete"))
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# net = network.Network([784, 100, 10]) #Marche pas bien apparemment
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# net.SGD(training_data, 30, 10, 0.001, test_data=test_data)
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# net = network.Network([784, 30, 10]) #Marche pas du tout apparemment
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# net.SGD(training_data, 30, 10, 100.0, test_data=test_data)
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