deeplearning4j-examples-refactor | Eclipse DeeplearningJ ecosystem is a set
kandi X-RAY | deeplearning4j-examples-refactor Summary
kandi X-RAY | deeplearning4j-examples-refactor Summary
deeplearning4j-examples-refactor is a Java library. deeplearning4j-examples-refactor has no bugs, it has no vulnerabilities and it has low support. However deeplearning4j-examples-refactor build file is not available. You can download it from GitHub.
The Eclipse DeeplearningJ (DL4J) ecosystem is a set of projects intended to support all the needs of a JVM based deep learning application. This means starting with the raw data, loading and preprocessing it from wherever and whatever format it is in to building and tuning a wide variety of simple and complex deep learning networks.
The Eclipse DeeplearningJ (DL4J) ecosystem is a set of projects intended to support all the needs of a JVM based deep learning application. This means starting with the raw data, loading and preprocessing it from wherever and whatever format it is in to building and tuning a wide variety of simple and complex deep learning networks.
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deeplearning4j-examples-refactor has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
deeplearning4j-examples-refactor has no issues reported. There are 10 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of deeplearning4j-examples-refactor is current.
Quality
deeplearning4j-examples-refactor has no bugs reported.
Security
deeplearning4j-examples-refactor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
deeplearning4j-examples-refactor 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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deeplearning4j-examples-refactor releases are not available. You will need to build from source code and install.
deeplearning4j-examples-refactor has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of deeplearning4j-examples-refactor
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of deeplearning4j-examples-refactor
deeplearning4j-examples-refactor Key Features
No Key Features are available at this moment for deeplearning4j-examples-refactor.
deeplearning4j-examples-refactor Examples and Code Snippets
No Code Snippets are available at this moment for deeplearning4j-examples-refactor.
Community Discussions
No Community Discussions are available at this moment for deeplearning4j-examples-refactor.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install deeplearning4j-examples-refactor
You can download it from GitHub.
You can use deeplearning4j-examples-refactor 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 deeplearning4j-examples-refactor 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 deeplearning4j-examples-refactor 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 deeplearning4j-examples-refactor 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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