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- model = Sequential()
- model.add(Dense(20, input_dim=13, init='normal', activation='relu'))
- model.add(Dense(10, init='normal', activation='relu'))
- model.add(Dense(1, init='normal'))
- model.compile(loss='mean_squared_error', optimizer='adam')
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