Mastering PyTorch Tensors: A Comprehensive Guide
PyTorch tensors: understand & work with them. Key points: tensor creation methods, data types, operations (e.g., matmul). Ask me to highlight specific topics!
Table of Contents Introduction Understanding Tensors 2.1. What is a Tensor? 2.2. Tensor Attributes 2.2.1. Shape 2.2.2. Data Type (dtype) 2.2.3. Device Tensor Creation and Manipulation 3.1. Creating Tensors 3.1.1. Using torch.tensor 3.1.2. Using torch.zeros 3.1.3. Using torch.ones 3.1.4. Using torch.arange 3.1.5. Using torch.linspace 3.2. Tensor Operations 3.2.1. Arithmetic Operations 3.2.2. Indexing and Slicing 3.2.3. Reshaping Tensors 3.2.4. Concatenation and Stacking 3.2.5. Transposing Tensors Practical Exercises 4.1. Exercise 1: Exploring Tensor Attributes 4.2. Exercise 2: Creat...