NN_Demo | 用个小Demo用来记录NN学习，包括数据处理，训练和部署等全流程

by ZhangPHEngr Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | NN_Demo Summary

NN_Demo is a Python library. NN_Demo has no bugs, it has no vulnerabilities and it has low support. However NN_Demo build file is not available. You can download it from GitHub.

NN_Demo

Support

Quality

Security

License

Reuse

Support

NN_Demo has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

NN_Demo has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NN_Demo is current.

Quality

NN_Demo has no bugs reported.

Security

NN_Demo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

NN_Demo does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

NN_Demo releases are not available. You will need to build from source code and install.

NN_Demo has no build file. You will be need to create the build yourself to build the component from source.

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NN_Demo Key Features

No Key Features are available at this moment for NN_Demo.

NN_Demo Examples and Code Snippets

No Code Snippets are available at this moment for NN_Demo.

Community Discussions

No Community Discussions are available at this moment for NN_Demo.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install NN_Demo

You can download it from GitHub.
You can use NN_Demo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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