FNN-Digit-Classification | Java implementation of a feedforward neural network

 by   jorjasso Java Version: Current License: No License

kandi X-RAY | FNN-Digit-Classification Summary

kandi X-RAY | FNN-Digit-Classification Summary

FNN-Digit-Classification is a Java library. FNN-Digit-Classification has no bugs, it has no vulnerabilities and it has low support. However FNN-Digit-Classification build file is not available. You can download it from GitHub.

A Java implementation of a feedforward neural network with the backpropagation algorithm applied to digit classification
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            kandi-support Support

              FNN-Digit-Classification has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              FNN-Digit-Classification has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FNN-Digit-Classification is current.

            kandi-Quality Quality

              FNN-Digit-Classification has no bugs reported.

            kandi-Security Security

              FNN-Digit-Classification has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              FNN-Digit-Classification does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              FNN-Digit-Classification releases are not available. You will need to build from source code and install.
              FNN-Digit-Classification has no build file. You will be need to create the build yourself to build the component from source.

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            FNN-Digit-Classification Key Features

            No Key Features are available at this moment for FNN-Digit-Classification.

            FNN-Digit-Classification Examples and Code Snippets

            No Code Snippets are available at this moment for FNN-Digit-Classification.

            Community Discussions

            No Community Discussions are available at this moment for FNN-Digit-Classification.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install FNN-Digit-Classification

            You can download it from GitHub.
            You can use FNN-Digit-Classification like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the FNN-Digit-Classification component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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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          • HTTPS

            https://github.com/jorjasso/FNN-Digit-Classification.git

          • CLI

            gh repo clone jorjasso/FNN-Digit-Classification

          • sshUrl

            git@github.com:jorjasso/FNN-Digit-Classification.git

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