Deep learning -- 2

Given a dataset that contains images of retina you have to extract the features from images using pretrain architecture (Google Net, Alexnet, ResNet) . And integrate the features extracted by all three architecture. Divide the features set as train and test. And on train dataset used sparse autoencoder for features reduction to subset. And classify it in stages