Music Genre Classification based on Mel Spectrograms image

to do with this project

step1 the gtzan image datasets of the 10 genre is loaded to the google colab

step2 the image data set is preprocessed like normalization and color space conversion to RGB

step3 train test split is performed

step4 CNN model is adjusted according to the hyperparameters that makes it to perform well

step5 the training set is fitted to the model and We compiled the CNN model

finally we evaluate the model using test set data and we visualize the model perofmance using

Accuracy / Lose curve confusion matrix roc/auc curve

Thank You