Implementation of Convolutional Neural Network for Music Genre Classification

As the music industry grows rapidly and many songs are released, the importance of classifying music by genre is emerging. However, it is time-consuming for a person to judge a genre of music by directly listening to it. Recently, thanks to deep learning technology, research that can automatically classify using a model trained by machine learning without direct human involvement is being actively conducted. In this study, we focused on finding the Hyper parameter SET that improves the accuracy of the model by loading Json type music files from keras tensor flow and updating the logic to identify the genre of music with the CNN model