Sigmoid-and-Relu-Neural-Nets | cost function to a given accuracy

by mzareefmustafa Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Sigmoid-and-Relu-Neural-Nets Summary

Sigmoid-and-Relu-Neural-Nets is a Jupyter Notebook library. Sigmoid-and-Relu-Neural-Nets has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Wrote a program that minimizes the cost function to a given accuracy, plots the cost vs iteration, and analyzes the differences of using relu, sigmoid, and hidden layers

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Support

Sigmoid-and-Relu-Neural-Nets 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.

Sigmoid-and-Relu-Neural-Nets has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Sigmoid-and-Relu-Neural-Nets is current.

Quality

Sigmoid-and-Relu-Neural-Nets has no bugs reported.

Security

Sigmoid-and-Relu-Neural-Nets has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Sigmoid-and-Relu-Neural-Nets 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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Sigmoid-and-Relu-Neural-Nets releases are not available. You will need to build from source code and install.

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Sigmoid-and-Relu-Neural-Nets Key Features

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Sigmoid-and-Relu-Neural-Nets Examples and Code Snippets

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Vulnerabilities

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Install Sigmoid-and-Relu-Neural-Nets

You can download it from GitHub.

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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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