Deep Learning with Rust: Mastering Efficient and Safe Neural Networks in the Rust Ecosystem
暫譯: 使用 Rust 的深度學習：掌握 Rust 生態系統中的高效與安全神經網絡

Maleki, Mehrdad

Deep Learning with Rust: Mastering Efficient and Safe Neural Networks in the Rust Ecosystem
  • 出版商: Apress
  • 出版日期: 2026-02-11
  • 售價: $2,110
  • 貴賓價: 9.8 折 $2,067
  • 語言: 英文
  • 頁數: 182
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868822070
  • ISBN-13: 9798868822070
  • 相關分類: DeepLearning、Rust 語言

    • 海外代購書籍(需單獨結帳)

商品描述

What You Will Learn

    Understand deep learning foundations and Rust programming principles. Implement and optimize deep learning models in Rust, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs. Develop practical deep learning applications to solve real-world problems, including natural language processing, computer vision, and speech recognition. Explore Rust's safety features, including its strict type of system and ownership model, and learn strategies to create reliable and secure AI software. Gain an understanding of the broader ecosystem of tools and libraries available for deep learning in Rust.
Who This Book Is for

A broad audience with varying levels of experience and knowledge, including advanced programmers with a solid foundation in Rust or other programming languages (Python, C++, and Java) who are interested in learning how Rust can be used for deep learning apps. It may also be suitable for data scientists and AI practitioners who are looking to understand how Rust can enhance the performance and safety of deep learning models, even if they are new to the Rust programming language.

商品描述(中文翻譯)

您將學到的內容


  • 了解深度學習的基礎和 Rust 程式設計原則。

  • 在 Rust 中實現和優化深度學習模型，例如卷積神經網絡 (CNNs)、遞迴神經網絡 (RNNs) 和生成對抗網絡 (GANs)。

  • 開發實用的深度學習應用程式以解決現實世界的問題，包括自然語言處理、計算機視覺和語音識別。

  • 探索 Rust 的安全特性，包括其嚴格的類型系統和所有權模型，並學習創建可靠和安全的 AI 軟體的策略。

  • 了解可用於 Rust 深度學習的更廣泛工具和庫生態系統。


本書適合誰
本書適合各種經驗和知識水平的廣泛讀者，包括具有扎實 Rust 或其他程式語言（如 Python、C++ 和 Java）基礎的高級程式設計師，對學習如何使用 Rust 開發深度學習應用程式感興趣。它也可能適合希望了解 Rust 如何提升深度學習模型性能和安全性的數據科學家和 AI 從業者，即使他們對 Rust 程式語言是新手。

作者簡介

Dr. Mehrdad Maleki holds a Ph.D. in Theoretical Computer Science and a Master's degree in Mathematics. He is an accomplished AI Scientist and researcher specializing in artificial intelligence, quantum computing, and cybersecurity. His work combines deep mathematical insight with practical engineering to design scalable, high-performance AI and quantum systems.

Over the years, Dr. Maleki has led several R&D projects, contributing to more than ten patents in AI and quantum computing. His research and innovations span areas such as deep learning, foundation models, automatic differentiation, and scientific computing. Proficient in Python and Rust, he bridges the gap between theoretical research and real-world applications by transforming complex algorithms into impactful solutions.

作者簡介(中文翻譯)

梅赫達德·馬雷基博士擁有理論計算機科學的博士學位和數學的碩士學位。他是一位傑出的人工智慧科學家和研究員，專注於人工智慧、量子計算和網絡安全。他的工作結合了深厚的數學洞察力和實用的工程技術，以設計可擴展的高性能人工智慧和量子系統。

多年來，馬雷基博士領導了多個研發項目，為人工智慧和量子計算領域貢獻了十多項專利。他的研究和創新涵蓋了深度學習、基礎模型、自動微分和科學計算等領域。精通Python和Rust，他通過將複雜的算法轉化為有影響力的解決方案，架起了理論研究與現實應用之間的橋樑。

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