  This paper reports the methods and techniques we have developed for classify
dermoscopic images (task 1) of the ISIC 2019 challenge dataset for skin lesion
classification, our approach aims to use ensemble deep neural network with some
powerful techniques to deal with unbalance data sets as its the main problem
for this challenge in a move to increase the performance of CNNs model.
