Pytorch, Deep Learning, Optimization, Tensorboard, Deep Dives.
img = Image.fromarray(img) if self.transform is not None: img = self.transform(img) return img, target def __len__(self) -> int: return len(self.data) transform = T.Compose( [T.Resize(224), T.ToTensor(), T.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]) train_set = FakeCIFAR(transform=transform)