PyTorch is a popular machine learning framework that uses tensors as its building block data structure. Tensors are similar to arrays or matrices, but they can operate on GPUs, making them useful for deep learning applications.
In this series of tutorials, we will introduce you to tensors in PyTorch, covering topics such as tensor creation, indexing, slicing, and manipulation. We’ll also show you how to use tensors for common machine learning tasks such as linear regression and neural network training. By the end of the series, you’ll have a solid understanding of tensors in PyTorch and be ready to tackle more complex machine learning problems.
To get the most out of this series, you should have a basic understanding of the Python programming language and a strong willingness to learn new things.