• Anglický jazyk

Deep Learning with Rust

Autor: Mehrdad Maleki

Navigate the intersection of deep learning technologies and Rust programming with Deep Learning with Rust. This groundbreaking book is predicated on the idea that the future of efficient, reliable, and secure deep learning applications lies in... Viac o knihe

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O knihe

Navigate the intersection of deep learning technologies and Rust programming with Deep Learning with Rust. This groundbreaking book is predicated on the idea that the future of efficient, reliable, and secure deep learning applications lies in leveraging Rust's unparalleled features, such as its guarantee of memory safety, concurrency without data races, and abstractions that don't compromise performance.

You’ll explore basic neural concepts through the construction and deployment of sophisticated models using Rust. The language’s advantages for deep learning are emphasized, including enhanced performance, safety, and scalability. Through a unique blend of theory and application, you’ll explore how Rust can address the growing demand for technologies that can ensure faster, more secure deep learning solutions in an era where data volume and complexity are increasing exponentially.

This book meets a pressing need at a time when the integration of deep learning is critical across many diverse sectors. Programming languages can not only accelerate the development of AI models but also ensure they are built on a foundation of security and efficiency. This book is an indispensable resource for anyone looking to master the art of building next-generation deep learning with Rust’s growing ecosystem.

  • Vydavateľstvo: Apress
  • Rok vydania: 2026
  • Formát: Paperback
  • Rozmer: 254 x 178 mm
  • Jazyk: Anglický jazyk
  • ISBN: 9798868822070

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