Trying out different architectures using pytorch to get best model

[eaglewarrior]

Is your feature request related to a problem? Please describe.
Will try to improve accuracy by trying a different model

Describe the solution you'd like
Will use PyTorch models on the currently available data of this repo

[SaraLatif99]

I am interested in it.

[Nikita-Sukhwal]

I am interested in it.

[AnaghaSethuraman]

I am interested in it.

[imskr]

@eaglewarrior You can proceed with this!

[jmuskaan72]

Sir, can I also work in this issue?

[imskr]

@jmuskaan72 We are assigning only one for one issue now, wait for deadline.

[ghost]

Hi, can I too work in this issue please?

[emnikhil]

Hi, I can too work on this issue, please assign this to me.

[eaglewarrior]

@imskr I am not able to work on this due to my professional work commitments, please unassign me from this issue.

[imskr]

@eaglewarrior Do you need more time?

[eaglewarrior]

Yes actually I have project deadlines due to which I am unable to give time , I really can't predict when I will be able to implement all the listed models.

[ghost]

Hi @imskr , can you please assign this project to me, if she is not working?

[emnikhil]

@imskr Please assign this to me.

[ghost]

Hello mentors, I am doing the work, and I wonder, do I have to get all the things I did before, like precision, recall, f1, accuracy for RESNET34?

[ghost]

Or just Accuracy will be fine?

[ghost]

Hi, I am working on this, and I have completed DenseNet, VGG16, and RESNET50. Well, Xecption, I surely tried to find, but Pytorch model document, I couldn't able to find it. Also, I will be implementing MobileNetV2 only, instead of two MobileNets. That's all, thank you.

[imskr]

@iamdeb28 No problem. Just add whatever is available. And make sure you add precision, recall, f1 too along with accuracy.

[imskr]

@iamdeb28 Please make the PR before the deadline.

[ghost]

Sorry @imskr for the late reply, but I have made a new pull request, you can check it out.

[Ishaan28malik]

@iamdeb28 any updates ?