def model_EEDS(input_col, input_row):
_input = Input(shape=(input_col, input_row, 1), name='input')
EES = model_EES(input_col, input_row)(_input)
EED = model_EED(input_col, input_row)(_input)
_EEDS = merge(inputs=[EED, EES], mode='sum')
model = Model(input=_input, output=_EEDS)
Adam = adam(lr=0.001)
model.compile(optimizer=Adam, loss='mean_squared_error', metrics=['mean_squared_error'])
return model
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