BlueNet | A simple python package for Neural Network based on numpy | Machine Learning library

 by   KohakuBlueleaf Python Version: Current License: No License

kandi X-RAY | BlueNet Summary

kandi X-RAY | BlueNet Summary

BlueNet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy, Neural Network applications. BlueNet has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A simple python package for Neural Network based on numpy
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              BlueNet has a low active ecosystem.
              It has 9 star(s) with 1 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              BlueNet has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of BlueNet is current.

            kandi-Quality Quality

              BlueNet has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              BlueNet does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              BlueNet releases are not available. You will need to build from source code and install.
              Build file is available. You can 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 BlueNet and discovered the below as its top functions. This is intended to give you an instant insight into BlueNet implemented functionality, and help decide if they suit your requirements.
            • Initialize the network .
            • Initialize layer initialization .
            • Load MNIST dataset .
            • Create an initializer for a device .
            • Get initializer for convolution .
            • Load the cifar test set .
            • Loads cifar100 training data .
            • Gradient of the layer .
            • Calculate the hyperparameters .
            • Load MNIST dataset .
            Get all kandi verified functions for this library.

            BlueNet Key Features

            No Key Features are available at this moment for BlueNet.

            BlueNet Examples and Code Snippets

            No Code Snippets are available at this moment for BlueNet.

            Community Discussions

            QUESTION

            Path to file in the Assets folder from within a Cordova plugin
            Asked 2017-Feb-21 at 13:34

            I am using a plugin cordova-plugin-bluenet-dfu I put the required firmware directly within the www folder. However, I have trouble targeting the file correctly with either file path or URI.

            With filePath for example, the plugin in Java opens file the following way:

            ...

            ANSWER

            Answered 2017-Feb-21 at 13:34

            Cordova access your file as a relative path. Mainly, Cordova think you're using the www directory. So if you want to find a file, i.e. myfile.html, you just use this filename if the file is in the www dir. If the file is in the dir inside (i.e. www\MyDirInside), you can access to it using MyDirInside\myfile.html (Sincerely I don't remember if \ or / ).

            Let's try using your dir and files.

            Source https://stackoverflow.com/questions/42360685

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

            Vulnerabilities

            No vulnerabilities reported

            Install BlueNet

            You can download it from GitHub.
            You can use BlueNet 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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            CLONE
          • HTTPS

            https://github.com/KohakuBlueleaf/BlueNet.git

          • CLI

            gh repo clone KohakuBlueleaf/BlueNet

          • sshUrl

            git@github.com:KohakuBlueleaf/BlueNet.git

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