Use matplotlib to plot Keras training history, visualizing loss and accuracy over epochs for performance analysis.
Here is the code snippet you can refer to:

In the above code, we are using the following approaches:
- Loss and Accuracy Tracking: Helps monitor overfitting and underfitting.
- Training vs. Validation Comparison: Identifies model generalization issues.
- Customizable Plots: Modify for different metrics like F1-score, AUC, etc.
- Multiple Subplots: View both loss and accuracy trends in one figure.
- Easy Debugging: Detects performance degradation across epochs.
Hence, visualizing training history with Matplotlib enables insightful performance analysis and aids in hyperparameter tuning for model optimization.