model.py contain AlexNet, VGGNet16, Resnet18, Resnet34, Resnet50
train_model.py is use to train model
RNN.py is RNN train and test demo
in_channels=3 class_num=1000
simplenet ('Total number of params', 928070) ('Total layers', 4)
alexnet ('Total number of params', 8159464) ('Total layers', 7)
vggnet16 ('Total number of params', 6255496) ('Total layers', 15)
resnet18 ('Total number of params', 13070568) ('Total layers', 21)
resnet34 ('Total number of params', 23182440) ('Total layers', 37)
resnet50 ('Total number of params', 25583592) ('Total layers', 54)
simplenet epoch=20 test_correct=0.8555
RNN.py