Optimization, Pytorch, Machine Learning, Deep Learning, Tensorboard.
define the dataset and the training loop: # dataset with random patches of size 32x32 class FakePatches(VisionDataset): def __init__(self, transform): super().__init__(root=None, transform=transform) self.data = np.random.randint(low=0,high=256,size=(10000,32,32,3),dtype=np.uint8) self.targets =