Hi!
I am very new to machine learning in general, and just started with Pytorch because of it’s simplicity. So I am following the TRAINING A CLASSIFIER 5 of 60 minutes blitz tutorial. There the I cannot understand how and what this lines mean:

The output of torchvision datasets are PILImage images of range [0, 1]. We transform them to Tensors of normalized range [-1, 1].

transform = transforms.Compose(
    [transforms.ToTensor(),
     transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])

Could you please help me understand it?
Thank you!