You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
I am little bit confused. That means are you continuously training to increase it's performence? I thought when a model is trained, you don't need so much comupting power. Or it is because everyone is trying different pictures parallelly.
They don't get continuously trained once completed. You just train a new model until completion and then use it without further training. So I'm talking about making new models here that I couldn't previously make because of new hardware.
OK that makes sense. Thanks for the reply. So from the Tweet I just understood your first setup was 4 1080Ti, with what you implemented your first deoldify.
Correct. And actually V1 and V2 were trained on single gpu configs (I used the four gpus to run parallel experiments). Now I use the four gpus in combination to squeeze extra capability in a single training session.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
