mytensorflow | simple examples to learn tensor flow

by fbora Python Version: Current License: No License

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kandi X-RAY | mytensorflow Summary

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

A simple examples to learn LSTM in tensor flow. I generate a sin wave and train the network for 10 periods and try to predict the 11th period. X is the lagged y by one period. With these parameters the network trains relatively fast.

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mytensorflow 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.

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 mytensorflow is current.

Quality

mytensorflow has no bugs reported.

Security

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

License

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

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

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mytensorflow Key Features

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mytensorflow Examples and Code Snippets

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Vulnerabilities

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Install mytensorflow

You can download it from GitHub.
You can use mytensorflow 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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