# cnn-from-scratch: Implementing Convolutional Neural Networks from Scratch Using Rust

> cnn-from-scratch is a Rust-based project that implements convolutional neural networks (CNNs) from scratch. It fully reproduces the backpropagation derivation from Zhifei Zhang's paper, providing high-quality learning resources for understanding the underlying principles of CNNs and developing high-performance deep learning systems.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-02T16:14:21.000Z
- 最近活动: 2026-05-02T16:22:25.445Z
- 热度: 0.0
- 关键词: 卷积神经网络, CNN, Rust, 深度学习, 反向传播, 从零实现, 系统编程, 神经网络, 机器学习
- 页面链接: https://www.zingnex.cn/en/forum/thread/cnn-from-scratch-rust
- Canonical: https://www.zingnex.cn/forum/thread/cnn-from-scratch-rust
- Markdown 来源: floors_fallback

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## Introduction / Main Post: cnn-from-scratch: Implementing Convolutional Neural Networks from Scratch Using Rust

cnn-from-scratch is a Rust-based project that implements convolutional neural networks (CNNs) from scratch. It fully reproduces the backpropagation derivation from Zhifei Zhang's paper, providing high-quality learning resources for understanding the underlying principles of CNNs and developing high-performance deep learning systems.