from fastai.vision.all import *

path = untar_data(URLs.MNIST_SAMPLE)
Path.BASE_PATH = path
path.ls()

(#3) [Path('train'),Path('labels.csv'),Path('valid')]
dls = ImageDataLoaders.from_folder(path)
learn = vision_learner(dls, resnet18, pretrained=False, loss_func=nn.CrossEntropyLoss(), metrics=accuracy)
learn.fit_one_cycle(1, 0.1)
epoch train_loss valid_loss accuracy time
0 0.168187 0.021135 0.995093 00:17