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odel = keras.models.Sequential ( ) model.add ( keras . layers.Flatten ( input _ shape = [ 3 2 , 3 2 , 3 ] )

odel = keras.models.Sequential()
model.add(keras.layers.Flatten(input_shape=[32,32,3])) #for input layer
for _ in range(20): #for hidden layer
model.add(keras.layers.Dense(
100,
activation='elu',
kernel_initializer='he_normal'
))

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