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https://github.com/jackpopc/ailearnnotes
Artificial Intelligence Learning Notes.
https://github.com/jackpopc/ailearnnotes
activation-function alexnet cnn computer-vision deep-learning dpm dropout harris hog image-augmentation image-denoising image-enhancement image-processing image-segmentation lenet machine-learning reinforcement-learning sift tensorflow vgg
Last synced: 2 days ago
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Artificial Intelligence Learning Notes.
- Host: GitHub
- URL: https://github.com/jackpopc/ailearnnotes
- Owner: Jackpopc
- Created: 2019-02-20T14:16:26.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-03-25T00:16:39.000Z (almost 2 years ago)
- Last Synced: 2025-01-22T14:06:08.401Z (10 days ago)
- Topics: activation-function, alexnet, cnn, computer-vision, deep-learning, dpm, dropout, harris, hog, image-augmentation, image-denoising, image-enhancement, image-processing, image-segmentation, lenet, machine-learning, reinforcement-learning, sift, tensorflow, vgg
- Language: Python
- Homepage: https://github.com/Jackpopc/aiLearnNotes
- Size: 638 KB
- Stars: 272
- Watchers: 8
- Forks: 60
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
aiLearnNotes
人工智能相关领域知识学习笔记,理论与实践相结合,利用Python语言逐步实现计算机视觉、机器学习、强化学习、优化算法等方向内容,目前正在进行[《动手学计算机视觉》](https://jackpopc.github.io/)系列的更新,后续会逐渐加入《动手学机器学习》《动手学强化学习》《动手学优化算法》系列。
Contents
aiLearnNotes每一讲有对应的文档和代码,内容涉及计算机视觉、机器学习、强化学习、优化算法等。## Code
aiLearnNotes代码链接如下,
- [计算机视觉](./computer_vision)
- [机器学习](./machine_leaning)
- [强化学习](./reinforcement_learning)
- [优化算法](./optimization_algorithm)## Docs
代码可以点击上面条目直接访问,文档放在docs目录下,可以点击下面目录访问,
- [计算机视觉](./docs/cv/0-Contents.md)
Usage
首先按照依赖环境,```shell
$ pip install -r requirements.txt
```然后进入不同目录下直接执行对应的程序即可,例如,
```shell
$ cd computer_vision
$ python HOG.py
```Support
如果觉得本项目有帮助,可以关注公众号平凡而诗意或者知乎Jackpop,也可以收藏我的个人主页。> 知乎:[Jackpop](https://www.zhihu.com/people/sharetechlee/activities)
>
> 主页:[平凡而诗意](https://jackpopc.github.io/)
>
> 专栏:[Lee先森的技术站](https://zhuanlan.zhihu.com/sharetechlee)