Using torchvision transforms for data augmentation

Transforms are common image transformations. torchvision transforms are used to augment the data with scaling, rotations, mirroring, cropping etc. Transforms are common image transformations.  Let us create some possible transforms like RandomRotation , Resize, RandomResizedCrop etc. Below is the code to use transforms for the training, validation, and testing sets transforms.Compose([transforms.Resize(224),transforms.CenterCrop(64),transforms.ToTensor()]) Most neural networks expect the … Continue reading Using torchvision transforms for data augmentation