music-genre-classification | Repo consisting of Python scripts | Machine Learning library

 by   suhasshrinivasan Python Version: Current License: No License

kandi X-RAY | music-genre-classification Summary

kandi X-RAY | music-genre-classification Summary

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

Repo consisting of Python scripts to do music genre classification.
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            kandi-support Support

              music-genre-classification has a low active ecosystem.
              It has 7 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              music-genre-classification has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of music-genre-classification is current.

            kandi-Quality Quality

              music-genre-classification has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              music-genre-classification 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-genre-classification releases are not available. You will need to build from source code and install.
              music-genre-classification 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-genre-classification and discovered the below as its top functions. This is intended to give you an instant insight into music-genre-classification implemented functionality, and help decide if they suit your requirements.
            • Train and classify and classify the model
            • Plots the confusion matrix
            • Create a cps file from a wav file
            • Write ceps to wav file
            • Read FFT - files
            • Read the ceps files
            • Create a FFT file
            Get all kandi verified functions for this library.

            music-genre-classification Key Features

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

            music-genre-classification Examples and Code Snippets

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

            Community Discussions

            QUESTION

            Error in TensorFlow/Keras: ValueError: No gradients provided for any variable
            Asked 2020-Oct-31 at 17:45

            I am new to the implementation of deep learning and I am trying to implement a method of music genre classification with Keras / Tensorflow based on the following Git.

            With some modifications to the model.

            The code I am implementing is as follows:

            ...

            ANSWER

            Answered 2020-Oct-31 at 17:45

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

            Vulnerabilities

            No vulnerabilities reported

            Install music-genre-classification

            You can download it from GitHub.
            You can use music-genre-classification 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/suhasshrinivasan/music-genre-classification.git

          • CLI

            gh repo clone suhasshrinivasan/music-genre-classification

          • sshUrl

            git@github.com:suhasshrinivasan/music-genre-classification.git

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