By adopting greedy layer-wise training (Hinton et al., 2006;Bengio et al., 2007), DBNs are capable of modelling higher order non-linear relations between the input, and has been demonstrated to improve performance for many computer vision tasks (Hinton et al., 2006;Bengio et al., 2007;Lee et al., 2009a).
with data preprocessing, the average accuracy boosts to about 92.02 on the test set of the target domain.