char-rnn | Recurrent Neural Networks for character-level

by wqw547243068 Python Version: Current License: No License

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kandi X-RAY | char-rnn Summary

char-rnn is a Python library. char-rnn has no bugs, it has no vulnerabilities and it has low support. However char-rnn build file is not available. You can download it from GitLab.

参照karpathy公布的代码，我用theano重写了该模型，使模型能够支持中文文本，同时将源程序中的RNN模型替换成了[GRU(Cho et al., 2014b)] Bengio et al., 1994(Greff et al., 2015(Dhingra et al., 2016(blog(char-rnn.py文件里面有以下参数可以设定： - hidden_size：神经网络隐含层的维度 - seq_length：RNN展开的步骤数（每次训练多少个字符） - learning_rate：学习率 - iter：迭代次数 - save_freq：每迭代多少次保存一次模型，同时进行一次生成 - idx_of_begin：生成语段的起始字符 - len_of_sample：生成语段的字符数目.

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Support

char-rnn has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

char-rnn has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of char-rnn is current.

Quality

char-rnn has no bugs reported.

Security

char-rnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

char-rnn 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.

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char-rnn releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

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char-rnn Key Features

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char-rnn Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install char-rnn

You can download it from GitLab.
You can use char-rnn 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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