MNIST_DigitClassifier | deep neural network built on Keras

by Sherbhy Python Version: Current License: No License

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

kandi X-RAY | MNIST_DigitClassifier Summary

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

A deep neural network built on Keras. It's trained on the MNIST dataset to identify hand written numbers.

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Quality

Security

License

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Support

MNIST_DigitClassifier has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

MNIST_DigitClassifier has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MNIST_DigitClassifier is current.

Quality

MNIST_DigitClassifier has no bugs reported.

Security

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

License

MNIST_DigitClassifier 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

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

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

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MNIST_DigitClassifier Key Features

No Key Features are available at this moment for MNIST_DigitClassifier.

MNIST_DigitClassifier Examples and Code Snippets

No Code Snippets are available at this moment for MNIST_DigitClassifier.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MNIST_DigitClassifier

You can download it from GitHub.
You can use MNIST_DigitClassifier 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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