-
Notifications
You must be signed in to change notification settings - Fork 168
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
please explain your conclusion that TS deep NN transformers performance are bad #422
Comments
Not sure specifically which statements you are referring to - can you cite them explicitly and point them out (timestamp) in the video? |
Hi, just wanted to follow up on this. Do you have any questions that we can answer? I think there have been many attempts at Transformers for time series, some succesful, some less so. This also depends on how you define success (e.g. accuracy, model complexity, model size). Hence, both conclusions that you state can be made, but again, not sure what specific statement it is you are referring to. |
Closing, but feel free to re-open if you have further questions. |
great job thanks
please explain your conclusion that TS deep NN transformers performance are bad
may you clarify what this your video
https://youtu.be/r43JnfHrmJk?t=913
from one hand you confirm your conclusion that TS deep NN transformers performance are bad
from another hand you say
you developed ML model which uses TS deep NN transformers and it is very good
The text was updated successfully, but these errors were encountered: