Train the model using new data created in issue #4

Question

Train the model using new data created in issue #4

Chintan2108 opened this issue 4 years ago · comments

vesper2108 commented 4 years ago

Train the model using the new dataset as created in issue #4
Compare the model performance, assess the generated images' quality using the stipulated measures (code available in the notebook) and document the same in readme of the PR
Update repository readme with the quantitative comparison info of these two models

Namya LG · Answer 1 · Fri Oct 16 2020 20:12:35 GMT+0800 (China Standard Time)

I would like to work on this

Preetesh Verma · Answer 2 · Fri Oct 16 2020 20:47:12 GMT+0800 (China Standard Time)

I would also like to contribute to this issue.

vesper2108 · Answer 3 · Tue Oct 27 2020 20:51:15 GMT+0800 (China Standard Time)

@Namyalg @Preetesh21
You both can train the model on the new skewed dataset as sampled by @Preetesh21 in issue #4

Train the model using the same hyperparameters
Report analytical and comparative model performance
- Compare your respective models with the current project model (link in readme)
- Compare each others' model
Update readme with a comparison table in terms of our 3 evaluation metrics - PSNR, SSIM and Pearson Correlation
Also provide epoch vs error graphs (for both of you)

Namya LG · Answer 4 · Tue Oct 27 2020 20:56:51 GMT+0800 (China Standard Time)

Okay, will do that Namya LG

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On Tue, Oct 27, 2020, 6:21 PM vesper2108 ***@***.***> wrote: @Namyalg <https://github.com/Namyalg> @Preetesh21 <https://github.com/Preetesh21> You both can train the model on the new skewed dataset as sampled by @Preetesh21 <https://github.com/Preetesh21> in issue #4 <#4> - Train the model using the same hyperparameters - Report analytical and comparative model performance - Compare your respective models with the current project model (link in readme) - Compare each others' model - Update readme with a comparison table in terms of our 3 evaluation metrics - PSNR, SSIM and Pearson Correlation - Also provide epoch vs error graphs (for both of you) — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#5 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AM3BEYPUADSOTYLHXO5QD2LSM265HANCNFSM4SPD74YA> .