sushreebarsa
sushreebarsa
@AshwinJay101 Could you please have a look at this [gist](https://colab.research.google.com/gist/sushreebarsa/d96117d0577d8a3545040d83e2542d44/17201.ipynb) and confirm the issue? Thank you!
@AshwinJay101 One-hot encoding to be done before passing data to training otherwise shape compatibility issues may arise. Could you refer this modified gist [here](https://colab.research.google.com/gist/SuryanarayanaY/e30b600097ca9c583126ed16099fc98b/17201.ipynb) and let us know if it...
@gadagashwini I was able to replicate the issue on colab using TF v2.8.0 , please find the [gist](https://colab.research.google.com/gist/sushreebarsa/522b6b0e4ec776f78679ca4fcbb8e119/16355.ipynb).Thanks!
@AMedicalDataAnalyst Could you please elaborate about your feature and please specify the use cases for this feature. Thank you!
@will-cern Could you refer the comment above and keep us informed if it helps? Thank you!
@MuellerJY Please have a look at the comment above and let us know? Thank you!
@MuellerJY In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here. Thank you!
@MuellerJY In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here. Thank you!
@gadagashwini I was able to replicate the issue on colab, please find the gist [here](https://colab.research.google.com/gist/sushreebarsa/0251f72fdb8eb2d6d343eb988092ce02/conv2dbackpropinput-fun.ipynb) for reference. Thank you!
@SuryanarayanaY I was able to replicate the issue on colab, please find the [gist](https://colab.research.google.com/gist/sushreebarsa/644f69677019706c0522aaa9b5af5c2d/untitled727.ipynb#scrollTo=s6s9TPsw_uNw) here. Thank you!