Please let us know by raising it with the issue tab in the chatbox or write a mail to us at firstname.lastname@example.org. We will try to fix it as early as possible.
You can raise it with the issue tab in the chatbox or write to us at email@example.com and our team members will respond to your query soon.
Can I do a trade-off or benchmarking analysis between performance vs footprint for various AI hardware models?
This functionality is not supported at the moment but will be available soon.
Yes, you can retrain the model using ENAP Studio. It is one of the benefits you receive while utilizing our platform. ENAP Studio has integrated MLOps that allows you to easily retrain the model and maintain the versions of models as you retrain. It saves developers time and effort , helping them to easily manage…
Yes, you can check the training progress in the ‘In progress’ tab of the training module. It will show you the training and validation accuracy, loss function with each iteration in progress. After the training is completed, you can check the reports section which will have the detailed summary of the model trained.
For this Beta version, you cannot upload your trained model. We will soon be supporting the functionality to upload the model.
Presently we don’t train on third party GPU/TPU platform. ENAP will acquire respective instances within its own infrastructure and train on them. But this will be provided as a feature in ENAP soon.
The platform doesn’t support data annotation services currently. If you wish to get the dataset annotated, do write to us at firstname.lastname@example.org. We can get the dataset annotated via our partner companies, but the dataset needs to be provided by you. There might be additional fees for data labelling or annotation services as this is…