semvec/pypi-packages huggingface dataset:
TERRA-GA-IMG-Classification 0.0.18
GA for best models for image classification
Requires Python: >=3.6

'''
This is a set of modules for creating GA for image classification.


1. from TERRA_GA.IMG_Classification_GA import IMG_create_Conv_Net

IMG_create_Conv_Net()

2. from TERRA_GA.IMG_Classification_GA import visualize_mean_accuracy

visualize_mean_accuracy(mean_val, max_val)

3. from TERRA_GA.IMG_Classification_GA import Recovery_Conv_Net

Recovery_Conv_Net()

4. from TERRA_GA.IMG_Classification_GA import show_info

show_info()

'''
'''
MIT License

Copyright (c) [year] [fullname]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), 
to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
 WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 '''
UII-GA-IMG-Classification 0.0.18
GA for best models for image classification
Requires Python: >=3.6

'''
This is a set of modules for creating GA for image classification.


1. from TERRA_GA.IMG_Classification_GA import IMG_create_Conv_Net

IMG_create_Conv_Net()

2. from TERRA_GA.IMG_Classification_GA import visualize_mean_accuracy

visualize_mean_accuracy(mean_val, max_val)

3. from TERRA_GA.IMG_Classification_GA import Recovery_Conv_Net

Recovery_Conv_Net()

4. from TERRA_GA.IMG_Classification_GA import show_info

show_info()

'''
'''
MIT License

Copyright (c) [year] [fullname]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), 
to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
 WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 '''
mitnicksecurity-zh 2022.12.27.0
MitnickSecurity 博客中文翻译
Requires Python: >=3.6

# MitnickSecurity 博客中文翻译

> 原文：[MitnickSecurity ](https://www.mitnicksecurity.com/blog/)
> 
> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 阶段：机翻（1）
> 
> 勇敢的人你可愿，为这份信念肩并肩？在这街垒的那一边，光明的未来可望见。你可听到这歌声？听鼓声在远方回响。未来与新希望同在，曙光在前方。——《悲惨世界》终曲
> 
> 列に入れよ、我らの味方に。砦の向こうに、憧れの世界。皆聞こえるか？ドラムの響が。彼ら夢見た明日が来るよ。
> 
> Will you joinin our crusade? Who will be strong and stand with me? Somewhere beyond the barricade, is there a world you long to see? Do you hear the people sing? Say, do youhear the distant drums? It is the future that they bring when tomorrow comes!

* [在线阅读](https://mnsec.apachecn.org)
* [在线阅读（Gitee）](https://apachecn.gitee.io/doc-template/)
* [ApacheCN 学习资源](http://docs.apachecn.org/)
* [ApacheCN 翻译校对兼职群 713436582](https://jq.qq.com/?_wv=1027&k=VSNtgpjb)

## 贡献指南

为了不断改进翻译质量，我们特此启动了【翻译、校对、笔记整理活动】，开设了多个校对项目。贡献者校对一章之后可以领取千字2\~4元的奖励。进行中的校对活动请见[活动列表](https://home.apachecn.org/#/docs/activity/docs-activity)。更多详情请联系飞龙（Q562826179，V:wizardforcel）。

## 联系方式

### 负责人

* [飞龙](https://github.com/wizardforcel): 562826179

### 其他

*   在我们的 [apachecn/mitnicksecurity-zh](https://github.com/apachecn/mitnicksecurity-zh) github 上提 issue.
*   发邮件到 Email: `apachecn@163.com`.
*   在我们的 [组织学习交流群](https://www.apachecn.org/#/docs/join) 中联系群主/管理员即可.

## 下载

### Docker

```
docker pull apachecn0/mitnicksecurity-zh
docker run -tid -p <port>:80 apachecn0/mitnicksecurity-zh
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install mitnicksecurity-zh
mitnicksecurity-zh <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g mitnicksecurity-zh
mitnicksecurity-zh <port>
# 访问 http://localhost:{port} 查看文档
```

## 其它协议

霞鹜文楷采用 [SIL 开放字体协议 1.1](https://github.com/lxgw/LxgwWenKai/blob/main/SIL_Open_Font_License_1.1.txt)。

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