music-recommendation | this project is about content-based music | Machine Learning library

 by   seongjunyun Python Version: Current License: No License

kandi X-RAY | music-recommendation Summary

kandi X-RAY | music-recommendation Summary

music-recommendation is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. music-recommendation has no bugs, it has no vulnerabilities and it has low support. However music-recommendation build file is not available. You can download it from GitHub.

this project is about content-based music recommendation using deep neural networks.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              music-recommendation has a low active ecosystem.
              It has 12 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              music-recommendation has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of music-recommendation is current.

            kandi-Quality Quality

              music-recommendation has no bugs reported.

            kandi-Security Security

              music-recommendation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

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

            kandi-Reuse Reuse

              music-recommendation releases are not available. You will need to build from source code and install.
              music-recommendation has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed music-recommendation and discovered the below as its top functions. This is intended to give you an instant insight into music-recommendation implemented functionality, and help decide if they suit your requirements.
            • Create an RNN model .
            • Main function .
            • RNN layer .
            • Train the test function
            • A bag - of - words model .
            • Get all files under path .
            • Slice an array into a smaller range .
            • Pads an array with the given maximum value .
            Get all kandi verified functions for this library.

            music-recommendation Key Features

            No Key Features are available at this moment for music-recommendation.

            music-recommendation Examples and Code Snippets

            No Code Snippets are available at this moment for music-recommendation.

            Community Discussions

            QUESTION

            Getting Error after Epoch While running a training model for facial expression detection using keras
            Asked 2021-Mar-12 at 17:18

            I'm working on the facial expression detection model with python 3.8.8 and TensorFlow 2.4.

            My code:

            ...

            ANSWER

            Answered 2021-Mar-08 at 13:47

            The error message reports:

            Source https://stackoverflow.com/questions/66520398

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

            Vulnerabilities

            No vulnerabilities reported

            Install music-recommendation

            You can download it from GitHub.
            You can use music-recommendation 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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/seongjunyun/music-recommendation.git

          • CLI

            gh repo clone seongjunyun/music-recommendation

          • sshUrl

            git@github.com:seongjunyun/music-recommendation.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link