Final commit of the exercise 6_v2
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@ -46,6 +46,6 @@ rms = Adam(lr=0.0003)
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NeuralModel.compile(optimizer=rms, loss='binary_crossentropy', metrics=['accuracy'])
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NeuralModel.fit(scaled_x, yenc, batch_size=int(sys.argv[1]), epochs = int(sys.argv[1])) #verbose = 1
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NeuralModel.fit(scaled_x, yenc, batch_size=int(sys.argv[1]), epochs = int(sys.argv[2])) #verbose = 1
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NeuralModel.save('wine_model.h5')
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