def model_EES16():
_input = Input(shape=(None, None, 1), name='input')
EES = Conv2D(filters=16, kernel_size=(3, 3), strides=(1, 1), padding='same', activation='relu')(_input)
EES = Conv2DTranspose(filters=32, kernel_size=(14, 14), strides=(2, 2), padding='same', activation='relu')(EES)
out = Conv2D(filters=1, kernel_size=(5, 5), strides=(1, 1), activation='relu', padding='same')(EES)
model = Model(input=_input, output=out)
return model
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