Introduce Visualization Tools for Training Metrics

ravin-d-27 / PyDeepFlow

This is my own Deep Learning Package, optimized for performing Deep Learning Tasks and easy to learn and integrate into projects.

https://pypi.org/project/pydeepflow/

MIT License

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Introduce Visualization Tools for Training Metrics #13

Closed ravin-d-27 closed 1 month ago

ravin-d-27 commented 1 month ago

Implement functions to plot training metrics (loss, accuracy) over time for better tracking and debugging.

Objective:
Provide users with visual feedback on model training and performance.

Implementation Suggestions:

Create a Plotting utility class with methods for loss and accuracy plots.
Use libraries like Matplotlib or Seaborn for visualization.
Allow users to specify what metrics to visualize and save plots as images.

SujitSakore commented 1 month ago

Hello @ravin-d-27 will you please assign me this one.

ravin-d-27 commented 1 month ago

Hi @SujitSakore ! Thank you for your interest ! I am assigning this issue to you !

SujitSakore commented 1 month ago

Hello @ravin-d-27 I have resolved the issue https://github.com/ravin-d-27/PyDeepFlow/issues/13 If there are any changes or further adjustments needed, please let me know. I would appreciate it if you could accept my pull request.