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model = keras.Sequential ( ) keras.layers.Dense ( 1 1 , input _ shape = ( 1 1 , ) , activation = 'relu' ) ,

model = keras.Sequential()
keras.layers.Dense(11, input_shape=(11,), activation='relu'),
keras.layers.BatchNormalization(),
keras.layers.Dense(6, activation='relu'),
keras.layers.BatchNormalization(),
keras.layers.Dense(3,activation='softmax'),
keras.layers.BatchNormalization(0.5)

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