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PL
Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning
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Piotr Migdał's Blog
Prepare the dataset Import dependencies Create data generators Create the network Train the model Save and load the model Make predictions on sample test images normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) data_transforms = { 'train': transforms.Compose([ transforms.Resize((224,224)), transforms.RandomAffine(0, shear=10, scale=(0.8,1.2)), transforms.RandomHorizontalFlip(), transforms.ToTensor(), normalize]), 'validation': transforms.Compose([ transforms.Resize((224,224)), transforms.ToTensor(), normalize])} image_datasets = { 'train': datasets.ImageFolder('data/train', data_transforms['train']), 'validation': datasets.ImageFolder('data/validation', data_transforms['validation'])} dataloaders = { 'train': torch.utils.data.DataLoader(…