Chapter 5 introduces the core building blocks of neural networks, providing an understanding of their architecture and components. The chapter walks through the process of implementing simple neural networks in Rust, offering hands-on experience for readers. It also explores Rust’s growing ecosystem for AI development, focusing on libraries and tools that enhance the creation of neural networks, including ndarray, autograd, and linfa. This chapter lays a practical foundation for readers to implement efficient neural network models using Rust.