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EmbraceLife
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kerasTUT/4-regressor_example.py

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# build a neural network from the 1st layer to the last layer
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model = Sequential()
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model.add(Dense(units=1, input_dim=1)) # new_change
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model.add(Dense(units=1, input_dim=1))
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# new_change
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# choose loss function and optimizing method
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model.compile(loss='mse', optimizer='sgd')

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