Celsius-to-fahrenheit-using-Tensorflow | one variable Y based on another variable X

 by   srin20 Jupyter Notebook Version: Current License: No License

kandi X-RAY | Celsius-to-fahrenheit-using-Tensorflow Summary

kandi X-RAY | Celsius-to-fahrenheit-using-Tensorflow Summary

Celsius-to-fahrenheit-using-Tensorflow is a Jupyter Notebook library. Celsius-to-fahrenheit-using-Tensorflow has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The objective is to predict the value of one variable Y based on another variable X using simple deep learning model. X in this will be an independent variable and Y will be a dependent variable which will be linearly related to X. Here, X is temperature in Celsius and Y is the temperature in Fahrenheit
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              Celsius-to-fahrenheit-using-Tensorflow has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              Celsius-to-fahrenheit-using-Tensorflow has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Celsius-to-fahrenheit-using-Tensorflow is current.

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              Celsius-to-fahrenheit-using-Tensorflow has no bugs reported.

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              Celsius-to-fahrenheit-using-Tensorflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              Celsius-to-fahrenheit-using-Tensorflow does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Celsius-to-fahrenheit-using-Tensorflow releases are not available. You will need to build from source code and install.

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            gh repo clone srin20/Celsius-to-fahrenheit-using-Tensorflow

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