LSTM

by phamdinhkhanh Jupyter Notebook Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | LSTM Summary

LSTM is a Jupyter Notebook library. LSTM has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

LSTM

Support

Quality

Security

License

Reuse

Support

LSTM has a low active ecosystem.

It has 5 star(s) with 4 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of LSTM is current.

Quality

LSTM has no bugs reported.

Security

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

License

LSTM 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

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

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LSTM Key Features

No Key Features are available at this moment for LSTM.

LSTM Examples and Code Snippets

Wrapper for LSTM .

python

Lines of Code : 133

License : Non-SPDX (Apache License 2.0)

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def lstm_with_backend_selection(inputs, init_h, init_c, kernel,
                                recurrent_kernel, bias, mask, time_major,
                                go_backwards, sequence_lengths,
                                zero_output_for_

Compute the LSTM .

python

Lines of Code : 123

License : Non-SPDX (Apache License 2.0)

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def gpu_lstm(inputs, init_h, init_c, kernel, recurrent_kernel, bias, mask,
             time_major, go_backwards, sequence_lengths):
  """LSTM with either CuDNN or ROCm implementation which is only available for GPU.

  Note that currently only right

Standard LSTM .

python

Lines of Code : 83

License : Non-SPDX (Apache License 2.0)

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def standard_lstm(inputs, init_h, init_c, kernel, recurrent_kernel, bias,
                  mask, time_major, go_backwards, sequence_lengths,
                  zero_output_for_mask):
  """LSTM with standard kernel implementation.

  This implementati

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install LSTM

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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