Music Genre Classification System Part-10 | Loading and Evaluating Deep Learning Model Performance
Hello and Welcome guys,
In this project, we'll learn how to make a powerful deep-learning model for 10 different classes of music audio.
In this video, we'll reload the model and training history saved in the previous video and evaluate model performance on training and validation set data.
Also, we'll do an Accuracy and Loss Visualization of the Model on the training and validation set.
In the next video of this playlist, we will compute Precision, Recall, f1-score, and Confusion Matrix for this model.
Later in the upcoming video of this playlist, we will tackle and implement the entire project step by step.
-----------Content of Video----------------
00:00 - Intro
00:15 - Recap
02:58 - Model Evaluation
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#imageclassification #convolutionalneuralnetworks #audioclassification
#deeplearning #datascienceprojects #machinelearning #musicgenre #featureengineering #audiofeatureextraction #tensorflow #sklearn #modeltraining #modelevaluation #accuracy #datavisualization #matplotlib
Playlist Link: • Music Genre Classification System | Buildi...
Project Link: https://github.com/animesh1012/machin...
Trained Model file (h5/keras) :
https://drive.google.com/drive/folder...
Dataset Link:
https://www.kaggle.com/datasets/andra...
Music Genre Classification System Part-12 | Performing Model Prediction on New Audio File
Plant Disease Detection System Part-7 | Building Confusion Matrix for Deep Learning Model