Enhancing Model Accuracy through Advanced Transfer Learning Technique

[DarshAgrawal14]

No description provided.

[DarshAgrawal14]

Current Validation Accuracy: 91.93%
Current Test Accuracy: 92.40%

[Teja-m9]

hey @DarshAgrawal14 .Please assign this issue to me and i have some experienece in doing these tasks. I am pretty much sure that i can solve this problem in less amount of time

[DarshAgrawal14]

this issue is just my approach for a issue given by the owner of the repo, If you are interested then you checkout Issue : #1 .

[Akasxh]

I just reviewed, it seems fantastic. To make it full fledged could you make a separate readme along with eff net model architecture and explain how its working in brief.
-brief working
-architectural diagram
-how heavy the model is(space and inference speed)
-also create a seperate heading in improvement.md on how to further improve it
Could you add all this as well in your pull req

Thank you.

[Akasxh]

@Teja-m9 you can make a separate issue on his approach if you can improve the work.

[DarshAgrawal14]

got it, so do you want me add the readme and improvement md in this issue only or should i create a separate one?
and should i add the data regarding transfer learning in a new directory , so that it doesn't conflict with available versions of readme and improvement md?

[Akasxh]

Please do it in this issue itself.

Also do make a seperate readme for it but in the original main readme, make a link to your readme as a hypertext that there's a model with this much accuracy, size and technique where other technique can be added in future.

[DarshAgrawal14]

@Akasxh i have added the mentioned files and changes

[DarshAgrawal14]

hey @Akasxh can you add the labels to issue as well, for some reason the contributions to this repo are not added in GSSoC Leaderboard

[Akasxh]

Anything else or should I close this issue?

[DarshAgrawal14]

thats it thank you so much