SimpleNN | build a simple Neural Network framework from scratch

by beekbin Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | SimpleNN Summary

SimpleNN is a Python library. SimpleNN has no bugs, it has no vulnerabilities and it has low support. However SimpleNN build file is not available. You can download it from GitHub.

This project builds a simple neural network framework based on python and Numpy. It has three components:.

Support

Quality

Security

License

Reuse

Support

SimpleNN 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.

SimpleNN has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SimpleNN is current.

Quality

SimpleNN has 0 bugs and 0 code smells.

Security

SimpleNN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SimpleNN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SimpleNN 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.

Reuse

SimpleNN releases are not available. You will need to build from source code and install.

SimpleNN 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.

It has 800 lines of code, 115 functions and 12 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed SimpleNN and discovered the below as its top functions. This is intended to give you an instant insight into SimpleNN implemented functionality, and help decide if they suit your requirements.

Connects the layers .
Load training data .
Construct a network layer .
Construct a big network .
Train the network .
Calculates the accuracy of the test .
Set active word index .
Train an image .
Return detailed information about the layer .
Compute the gradient of the curve .

Get all kandi verified functions for this library.

SimpleNN Key Features

No Key Features are available at this moment for SimpleNN.

SimpleNN Examples and Code Snippets

No Code Snippets are available at this moment for SimpleNN.

Community Discussions

No Community Discussions are available at this moment for SimpleNN.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install SimpleNN

You can download it from GitHub.
You can use SimpleNN 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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