FNN-Digit-Classification | Java implementation of a feedforward neural network
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
A Java implementation of a feedforward neural network with the backpropagation algorithm applied to digit classification
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Quality
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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.
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.
Quality
FNN-Digit-Classification has no bugs reported.
Security
FNN-Digit-Classification has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
FNN-Digit-Classification 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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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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of FNN-Digit-Classification
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of FNN-Digit-Classification
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 .
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 .
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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