Add Inbuilt MNIST Dataset Loader to PyDeepFlow for Image Data Support

[Namesakenberg]

I’d like to propose adding support for inbuilt data loading of image-based datasets in PyDeepFlow, starting with the MNIST dataset. Currently, the datasets.py file includes built-in loaders for tabular datasets like Iris, Wine, and UCI OptDigits. Extending this to cover popular image datasets like MNIST would be a natural and valuable enhancement.

This addition will allow users to directly load MNIST for experimentation and benchmarking without manual downloads, improving usability and aligning with the package’s transfer learning capabilities.

Looking forward to your feedback on this proposal.

Thanks.

[Anand0295]

Hi! I would like to work on this issue and add the inbuilt MNIST dataset loader to PyDeepFlow. Could you please assign this issue to me? Thank you!

[Namesakenberg]

Hi @ravin-d-27 , since I created this issue initially and am interested in working on it, could you please assign it to me? I would like to contribute and resolve it. Thank you!

[ravin-d-27]

Hi @Namesakenberg, good addition to the package.. I am assigning this issue to you!
@Anand0295 , since @Namesakenberg created and interested in working on this issue, would be great if you could work on some other issues. Thank you!

(Same comment here as well :) )