# ddsggcs/cv\_learning\_resnet50

<https://repo.masters-masters.com/en/repos/ddsggcs/cv_learning_resnet50>

[Home](https://repo.masters-masters.com/en) › [ddsggcs](https://repo.masters-masters.com/en/owners/ddsggcs) › [cv\_learning\_resnet50](https://repo.masters-masters.com/en/repos/ddsggcs/cv_learning_resnet50)

ddsggcs/cv\_learning\_resnet50 has 236 stars on GitHub. Its RepoMasters card: Prototype tier. 计算机视觉入门的保姆级项目。包括传统计算机视觉的算法和实操，以及基于 Resnet50 AI… Language: C++.

| Field | Value |
| --- | --- |
| Owner | [ddsggcs](https://repo.masters-masters.com/en/owners/ddsggcs) |
| Stars | 236 |
| Forks | 36 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | Apache-2.0 |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ddsggcs/cv\_learning\_resnet50](https://github.com/ddsggcs/cv_learning_resnet50) |

## Repository

计算机视觉入门的保姆级项目。包括传统计算机视觉的算法和实操，以及基于 Resnet50 AI 神经网络的算法背景介绍、学习和代码实操。本仓库不借助第三方库，完全从零手写 Resnet50 模型，最后可以完成任意一张图片的识别，并基于手写的模型进行了多个版本的性能优化，是学习 AI 视觉及入门性能调优的不二之选。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
