Music genre classification is done by generating spectrograms, and then training the custom made CNN architecture on GPU provided by Google Colab.
The entire process of Downloading the dataset, as well as generating intermediate outputs is done step by step in the colab notebook.
Current Accuracy is 90%. I wish to improve the accuracy of the model, with the help of the feedback you provide.
Fixes #39
Music genre classification is done by generating spectrograms, and then training the custom made CNN architecture on GPU provided by Google Colab. The entire process of Downloading the dataset, as well as generating intermediate outputs is done step by step in the colab notebook. Current Accuracy is 90%. I wish to improve the accuracy of the model, with the help of the feedback you provide.