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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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Question

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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