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In this chapter, we introduce Rust and explain why it is our choice for deep learning implementation due to its memory safety, concurrency, and performance. We discuss the importance of studying deep learning, highlighting its wide applications, such as image recognition and natural language processing. We provide a road map for studying the book, emphasizing the sequential structure of chapters and the importance of practicing exercises. Supplementary materials, like the GitHub repository, offer access to source code examples and solutions, ensuring the code stays updated with the latest Rust versions. Engaging with these resources will enhance your proficiency in implementing deep learning models in Rust.

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Introduction

  • 章节

  • 发表日期：

    2026年

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  • Mehrdad Maleki

摘要

In this chapter, we introduce Rust and explain why it is our choice for deep learning implementation due to its memory safety, concurrency, and performance. We discuss the importance of studying deep learning, highlighting its wide applications, such as image recognition and natural language processing. We provide a road map for studying the book, emphasizing the sequential structure of chapters and the importance of practicing exercises. Supplementary materials, like the GitHub repository, offer access to source code examples and solutions, ensuring the code stays updated with the latest Rust versions. Engaging with these resources will enhance your proficiency in implementing deep learning models in Rust.