drnn | Dynamic Recursive Neural Networks | Machine Learning library

by hushell C++ Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | drnn Summary

drnn is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. drnn has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Dynamic Recursive Neural Networks.

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Support

drnn has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of drnn is current.

Quality

drnn has no bugs reported.

Security

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

License

drnn is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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drnn Key Features

No Key Features are available at this moment for drnn.

drnn Examples and Code Snippets

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Community Discussions

Trending Discussions on drnn

tensorlfow LSTM with GPU

QUESTION

tensorlfow LSTM with GPU

Asked 2018-May-03 at 13:01

I want to build LSTM model using GPU. But got a exception:

...

ANSWER

Answered 2018-May-03 at 13:01

The dynamic_rnn op internally uses tf.Assert to do some string data checking, which has no GPU implementation.
You can use soft_placement. Since it's not really a computation op, it should not slow down your performance.

Source https://stackoverflow.com/questions/44520538

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

Vulnerabilities

No vulnerabilities reported

Install drnn

You can download it from GitHub.

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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