neuralnet | vectorized implementation of an artificial neural network
kandi X-RAY | neuralnet Summary
kandi X-RAY | neuralnet Summary
neuralnet is a Python library. neuralnet has no bugs, it has no vulnerabilities and it has low support. However neuralnet build file is not available. You can download it from GitHub.
A vectorized implementation of an artificial neural network learning algorithm written in python using numpy. The current version supports a variable number of hidden layers (of variable size), multi-class classification, mini-batch processing, and advanced optimized methods using scipy (L-BFGS, CG).
A vectorized implementation of an artificial neural network learning algorithm written in python using numpy. The current version supports a variable number of hidden layers (of variable size), multi-class classification, mini-batch processing, and advanced optimized methods using scipy (L-BFGS, CG).
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Quality
Security
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Support
neuralnet has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
neuralnet has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of neuralnet is current.
Quality
neuralnet has no bugs reported.
Security
neuralnet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
neuralnet 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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neuralnet releases are not available. You will need to build from source code and install.
neuralnet has no build file. You will be need to create the build yourself to build the component from source.
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neuralnet Key Features
No Key Features are available at this moment for neuralnet.
neuralnet Examples and Code Snippets
No Code Snippets are available at this moment for neuralnet.
Community Discussions
No Community Discussions are available at this moment for neuralnet.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install neuralnet
You can download it from GitHub.
You can use neuralnet 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.
You can use neuralnet 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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