add trained NN on 10 epoch
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@ -20,7 +20,7 @@ def trainNeuralNetwork():
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criterion = nn.CrossEntropyLoss()
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criterion = nn.CrossEntropyLoss()
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optimizer = optim.SGD(neural_net.parameters(), lr=0.001, momentum=0.9)
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optimizer = optim.SGD(neural_net.parameters(), lr=0.001, momentum=0.9)
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epoch_num = 4 # najlepiej 10, dla lepszej wiarygodności
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epoch_num = 10 # najlepiej 10, dla lepszej wiarygodności
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for epoch in range(epoch_num):
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for epoch in range(epoch_num):
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measure_loss = 0.0
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measure_loss = 0.0
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for i, data in enumerate(trainloader, 0):
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for i, data in enumerate(trainloader, 0):
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