Today I’m going to talk about a super important part of Python’s deep learning—Tensors. If "tensors" sound a bit fancy, don't worry, they are actually just super versions of arrays or matrices. In the world of deep learning, tensors are a big star. They are super tools for storing data, model parameters, and even helping to automatically calculate gradients (those complex mathematical calculations).
In this tutorial, we will explain in the simplest terms what tensors are, how to create and operate them, and the role they play in deep learning. I'll start with the ABCs of tensors and slowly progress to some more advanced techniques. Don't worry, I'll use plenty of examples to help you understand. Even a novice in deep learning can easily keep up.