Bharath Raj

@yashdusing Verify in Gitter if someone else had already started work before you and if not, take it. Regarding the issue though, I have a suggestion. You could introduce a...

@utsavgarg Can I test the feasibility of using Keras's import for PyTorch implemented in #284 ?

@vasu-dev I'm waiting until the remote pytorch branch is updated with the master, after that i'll open a PR to add the basic folders and files where everyone can contribute....

@utsavgarg With reference to an old issue #300, the links at tested_models.md needs to be replaced with newer share links, to fix a bug related to parameter count and keras...

@Azamlynny That's a very neat documentation, good job! I have a few suggestions before we can approve this: - Place the documentation in `docs/source`. That's where most of our documentation...

@Azamlynny Please add a section for `Data` layers. I've just pasted the layers here for your reference: 

@Azamlynny Excellent work so far! That's a very neat documentation. I've posted a review with some changes. @yashdusing Can you just verify if I have not missed something?

@yashdusing I think we'll just mention the different names across platforms in brackets. (Inner-Product vs Dense). Let's not mention keras in the TensorFlow section for now. We'll have a separate...

@Azamlynny Actually the table looks neater with just ticks. So, if you notice any layer available in Caffe as well as Keras or Tensorflow, with just different names (but mapped...

@rahulsnkr In my opinion supporting more than one network does not sound like a good idea. Other than massive UI redesign, we also have to take care of proper usage...