NeurophFramework | Neuroph is an educational neural network framework in Java
kandi X-RAY | NeurophFramework Summary
kandi X-RAY | NeurophFramework Summary
NeurophFramework is a Java library typically used in Institutions, Learning, Administration, Public Services applications. NeurophFramework has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However NeurophFramework build file is not available. You can download it from GitHub, Maven.
Neuroph - Java Neural Network Framework. Copy/Paste following code into your pom.xml file. Getting and Building from Sources using NetBeans.
Neuroph - Java Neural Network Framework. Copy/Paste following code into your pom.xml file. Getting and Building from Sources using NetBeans.
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Support
NeurophFramework has a low active ecosystem.
It has 44 star(s) with 19 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. On average issues are closed in 156 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of NeurophFramework is current.
Quality
NeurophFramework has 0 bugs and 0 code smells.
Security
NeurophFramework has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
NeurophFramework code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
NeurophFramework is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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NeurophFramework releases are not available. You will need to build from source code and install.
Deployable package is available in Maven.
NeurophFramework 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.
Top functions reviewed by kandi - BETA
kandi has reviewed NeurophFramework and discovered the below as its top functions. This is intended to give you an instant insight into NeurophFramework implemented functionality, and help decide if they suit your requirements.
- Initialize the components
- Handle mouse released event
- Determines the color of the canvas
- Updates the canvas
- Main entry point
- Run the full evaluation of a given neural network
- Creates a data set from the specified directory
- Calculate the output of all neurons in F2 layer
- Adds a neuron at the specified index
- Propagates the LSTM values from the network
- Creates a custom NFR architecture
- Creates the connections between two feature maps
- Generate a new image
- Fill the HSL arrays from an image
- The main entry point
- Read market model
- Apply filter to a new image
- Create an example network for a student classifier
- Filter an image
- Demonstrates how to test a multi - level neural network
- Trims the specified image
- Filter the image
- Create a training data set
- Creates a demo network
- Filter image
- Entry point to the OS
Get all kandi verified functions for this library.
NeurophFramework Key Features
No Key Features are available at this moment for NeurophFramework.
NeurophFramework Examples and Code Snippets
No Code Snippets are available at this moment for NeurophFramework.
Community Discussions
No Community Discussions are available at this moment for NeurophFramework.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NeurophFramework
You can download it from GitHub, Maven.
You can use NeurophFramework 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 NeurophFramework 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 NeurophFramework 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 NeurophFramework 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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