How can I visualize the performance of my optimizer?
You can use various techniques like plotting loss curves, accuracy graphs, or using tools like TensorBoard.
What specific metrics should I focus on when visualizing?
Focus on metrics like loss, accuracy, precision, recall, and F1 score to get a comprehensive view.
Can you suggest some libraries for visualization?
Sure! Libraries like Matplotlib, Seaborn, and Plotly are great for creating visualizations in Python.
How do I interpret the loss curve?
A decreasing loss curve indicates that your model is learning, while a plateau may suggest it's reached its capacity.
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