دانلود کتاب یادگیری عمیق با Rust -تسلط بر شبکه‌های عصبی کارآمد و ایمن در اکوسیستم Rust

Artificial Intelligence (AI) and deep learning are among the most transformative technologies of our time. They are reshaping how we live, work, and interact with the world—driving innovations in finance, healthcare, manufacturing, and beyond. However, as deep learning models grow in scale and complexity, so do the challenges of implementing them efficiently, securely, and reliably. This book, Deep Learning with Rust, is written to bridge the gap between theoretical under- standing and high-performance implementation. It combines the mathematical and conceptual foundations of deep learning with the engineering precision of Rust—a modern programming language designed for safety, concurrency, and performance. By the end of this book, readers will not only understand how deep learning works but also how to build, optimize, and scale deep learning systems in Rust from the ground up. This book is intended for readers who are curious about how AI systems work under the hood and who wish to go beyond using existing libraries. It assumes a basic understanding of programming and mathematics (functions, calculus, and probability) but does not require prior knowledge of Rust or deep learning. It is particularly useful for: • AI practitioners who want to explore Rust as a new, safer, and faster alternative to Python for implementing deep learning models. • Developers and engineers interested in building efficient and reliable AI systems for production environments. • Researchers and students looking to strengthen their understanding of deep learning fundamen- tals while learning how to implement them in a high-performance language. Each chapter is self-contained yet builds progressively toward a comprehensive mastery of the subject.