Comprehensive Contents Structure for a Book on PyTorch, suitable for students, researchers, and professionals
Here’s a comprehensive contents structure for a book on PyTorch , suitable for students, researchers, and professionals aiming to master deep learning using PyTorch — from foundations to advanced applications. 📘 Book Title: Mastering PyTorch: From Foundations to Advanced Deep Learning Applications Preface Purpose of the Book Why PyTorch? Target Audience How to Use This Book Prerequisites Software and Installation Guide Part I: Introduction to PyTorch and Deep Learning Foundations Chapter 1: Introduction to Deep Learning and PyTorch What is Deep Learning? Overview of Machine Learning vs. Deep Learning Introduction to PyTorch History and Philosophy of PyTorch PyTorch vs. TensorFlow Setting Up PyTorch Environment Chapter 2: PyTorch Basics Tensors: Definition and Operations Tensor Creation and Manipulation Indexing, Slicing, and Reshaping Broadcasting and Tensor Arithmetic GPU and CUDA Basics Chapter 3: Automa...