# neural_network

**Repository Path**: d_ang_dang/neural_network

## Basic Information

- **Project Name**: neural_network
- **Description**: 同步 https://github.com/Lyn-liyuan/neural_network.git
- **Primary Language**: Rust
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-02-12
- **Last Updated**: 2025-02-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Tutorial code for manually writing a neural network in Rust language
Rust is an efficient and memory - safe programming language, well - suited for compute - intensive applications. Artificial neural networks happen to be compute - intensive applications. This series of videos aims to combine the two and manually build artificial neural networks from scratch.

The content this series will include:
1. Basics of artificial neural networks
2. Implementing multi - layer neural networks in Rust
3. Training classification models using neural networks implemented in Rust
4. Implementing a handwritten digit recognition model in Rust
5. Accelerating neural networks using CUDA
6. Implementing the training of GPT 1.0 using Rust and CUDA