12 lines
442 B
Python
12 lines
442 B
Python
from fastai.vision.all import *
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items = get_image_files(untar_data(URLs.MNIST))
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splits = GrandparentSplitter(train_name='training', valid_name='testing')(items)
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tds = Datasets(items, [PILImageBW.create, [parent_label, Categorize()]], splits=splits)
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if __name__ == '__main__':
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data = tds.dataloaders(bs=256, after_item=[ToTensor(), IntToFloatTensor()]).cuda()
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learn = vision_learner(data, resnet18)
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learn.fit_one_cycle(1, 1e-2)
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