LSTMnet | Long Short Term Memory neural network for time series | Machine Learning library

by heshanera C++ Version: Current License: GPL-3.0

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

kandi X-RAY | LSTMnet Summary

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

A Long Short Term Memory neural network for time series prediction. Memory blocks contain one memory cell in each. Weights for the network are randomly initialized.

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Quality

Security

License

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Support

LSTMnet has a low active ecosystem.

It has 8 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of LSTMnet is current.

Quality

LSTMnet has no bugs reported.

Security

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

License

LSTMnet is licensed under the GPL-3.0 License. This license is Strong Copyleft.

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

Reuse

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

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

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LSTMnet Key Features

No Key Features are available at this moment for LSTMnet.

LSTMnet Examples and Code Snippets

No Code Snippets are available at this moment for LSTMnet.

Community Discussions

Trending Discussions on LSTMnet

How to share LSTM unit for 2 separate input in TensorFlow?

QUESTION

How to share LSTM unit for 2 separate input in TensorFlow?

Asked 2017-Jun-28 at 19:42

Assume I have 2 input q and a, how to make the 2 inputs share 1 LSTM cell? Now part of my code as belows

...

ANSWER

Answered 2017-Jun-28 at 19:42

Your code seems to be fine as it uses scope.reuse_variable() to share the LSTM weights. The best way is to check is by printing the variables in the graph and verify whether the lstm_cell is declared only once. So in your inference function print the variable names:

Source https://stackoverflow.com/questions/44803836

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

Vulnerabilities

No vulnerabilities reported

Install LSTMnet

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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